{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Calibration of a 2 theta arm with a Pilatus 100k detector\n",
    "\n",
    "The aim of this document is to explain how to use pyFAI.goniometer for calibrating the position of the detector from the goniometer encoders.\n",
    "\n",
    "Those data have been acquired at ROBL (ESRF-BM20 German CRG) in winter 2017 by Christoph Henning using a Pilatus 100k detector and LaB6 as calibrant. One hundred and twenty one images have been acquired with the detector moving between 5 and 65 degree with a step size of half a degree. The motor position is registered in the filename.\n",
    "\n",
    "A prior manual calibration (using pyFAI-calib) has been performed on four images locate at 31.5, 33.5, 35 and 35.5 degrees. Those images were the first with two rings. The control points extrated during this initial calibration has been used as a starting point for this calibration. Then more images have been added to make the model more robust.\n",
    "\n",
    "The raw data files are available at: http://www.silx.org/pub/pyFAI/gonio/Pilatus-100k-LaB6/\n",
    "\n",
    "## Initialization and loading of the libraries\n",
    "\n",
    "Initialization of the plotting library, matplotlib, to be used with the jupyter notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n",
      "Using pyFAI version 0.16.0-dev0\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/users/kieffer/VirtualEnvs/py3/lib/python3.5/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.\n",
      "  from ._conv import register_converters as _register_converters\n"
     ]
    }
   ],
   "source": [
    "%pylab nbagg\n",
    "\n",
    "import time, pyFAI\n",
    "start_time = time.time()\n",
    "print(\"Using pyFAI version\", pyFAI.version)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['LaB6_gonio_BM20', 'del_45.0_0001p.cbf', 'del_08.5_0001p.cbf', 'del_20.5_0001p.cbf', 'minimum-mask.edf', 'del_09.0_0001p.cbf', 'del_53.0_0001p.cbf', 'del_60.0_0001p.cbf', 'del_63.5_0001p.cbf', 'del_56.5_0001p.cbf', 'del_12.5_0001p.cbf', 'del_53.5_0001p.cbf', 'del_42.5_0001p.cbf', 'del_16.5_0001p.cbf', 'del_05.5_0001p.cbf', 'del_47.0_0001p.cbf', 'del_39.0_0001p.cbf', 'del_47.5_0001p.cbf', 'del_57.0_0001p.cbf', 'del_35.5_0001p.poni', 'del_07.5_0001p.cbf', 'del_41.5_0001p.cbf', 'del_51.0_0001p.cbf', 'del_33.0_0001p.cbf', 'del_22.0_0001p.cbf', 'del_43.5_0001p.cbf', 'del_64.5_0001p.cbf', 'del_35.0_0001p.cbf', 'del_13.5_0001p.cbf', 'del_08.0_0001p.cbf', 'del_29.0_0001p.cbf', 'del_45.5_0001p.cbf', 'del_63.0_0001p.cbf', 'del_61.5_0001p.cbf', 'del_31.5_0001p.npt', 'del_11.0_0001p.cbf', 'del_46.5_0001p.cbf', 'del_11.5_0001p.cbf', 'del_56.0_0001p.cbf', 'del_18.0_0001p.cbf', 'del_06.5_0001p.cbf', 'del_46.0_0001p.cbf', 'del_58.5_0001p.cbf', 'del_35.5_0001p.npt', 'del_30.0_0001p.cbf', 'del_15.5_0001p.cbf', 'del_36.5_0001p.cbf', 'del_13.0_0001p.cbf', 'del_55.0_0001p.cbf', 'del_27.5_0001p.cbf', 'del_31.5_0001p.cbf', 'del_24.0_0001p.cbf', 'del_38.0_0001p.cbf', 'del_48.5_0001p.cbf', 'del_16.0_0001p.cbf', 'del_52.5_0001p.cbf', 'del_38.5_0001p.cbf', 'del_54.5_0001p.cbf', 'del_48.0_0001p.cbf', 'del_31.0_0001p.cbf', 'del_28.5_0001p.cbf', 'del_21.5_0001p.cbf', 'del_06.0_0001p.cbf', 'del_25.5_0001p.cbf', 'del_40.5_0001p.cbf', 'del_44.5_0001p.cbf', 'del_39.5_0001p.cbf', 'del_35.5_0001p.cbf', 'del_62.0_0001p.cbf', 'del_36.0_0001p.cbf', 'del_57.5_0001p.cbf', 'del_28.0_0001p.cbf', 'del_17.5_0001p.cbf', 'del_24.5_0001p.cbf', 'del_35.0_0001p.poni', 'del_50.5_0001p.cbf', 'del_18.5_0001p.cbf', 'del_27.0_0001p.cbf', 'del_19.5_0001p.cbf', 'del_21.0_0001p.cbf', 'del_17.0_0001p.cbf', 'del_50.0_0001p.cbf', 'del_44.0_0001p.cbf', 'del_30.5_0001p.cbf', 'del_51.5_0001p.cbf', 'del_62.5_0001p.cbf', 'del_05.0_0001p.cbf', 'del_26.5_0001p.cbf', 'del_31.5_0001p.poni', 'del_23.5_0001p.cbf', 'del_33.5_0001p.poni', 'del_37.5_0001p.cbf', 'del_19.0_0001p.cbf', 'del_29.5_0001p.cbf', 'del_10.0_0001p.cbf', 'del_40.0_0001p.cbf', 'del_58.0_0001p.cbf', 'del_49.5_0001p.cbf', 'del_09.5_0001p.cbf', 'del_15.0_0001p.cbf', 'del_43.0_0001p.cbf', 'del_60.5_0001p.cbf', 'del_34.0_0001p.cbf', 'del_20.0_0001p.cbf', 'deviation-mask.edf', 'del_41.0_0001p.cbf', 'del_07.0_0001p.cbf', 'del_54.0_0001p.cbf', 'del_33.5_0001p.npt', 'del_33.5_0001p.cbf', 'del_32.0_0001p.cbf', 'del_59.5_0001p.cbf', 'del_14.0_0001p.cbf', 'del_32.5_0001p.cbf', 'del_59.0_0001p.cbf', 'del_65.0_0001p.cbf', 'del_25.0_0001p.cbf', 'del_61.0_0001p.cbf', 'del_34.5_0001p.cbf', 'del_52.0_0001p.cbf', 'del_22.5_0001p.cbf', 'del_10.5_0001p.cbf', 'del_42.0_0001p.cbf', 'del_64.0_0001p.cbf', 'del_14.5_0001p.cbf', 'del_26.0_0001p.cbf', 'del_49.0_0001p.cbf', 'del_35.0_0001p.npt', 'del_55.5_0001p.cbf', 'del_23.0_0001p.cbf', 'del_12.0_0001p.cbf', 'del_37.0_0001p.cbf']\n"
     ]
    }
   ],
   "source": [
    "#Download all images\n",
    "\n",
    "import os\n",
    "from silx.resources import ExternalResources\n",
    "\n",
    "#Nota: Comment when outside ESRF\n",
    "os.environ[\"http_proxy\"] = \"http://proxy.esrf.fr:3128\"\n",
    "\n",
    "downloader = ExternalResources(\"pyFAI\", \"http://www.silx.org/pub/pyFAI/testimages\", \"PYFAI_DATA\")\n",
    "all_files = downloader.getdir(\"LaB6_gonio_BM20.tar.bz2\")\n",
    "print([os.path.basename(i) for i in all_files])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Loading of a few libraries\n",
    "\n",
    "import os\n",
    "import random\n",
    "import fabio\n",
    "import pyFAI\n",
    "from pyFAI.goniometer import GeometryTransformation, GoniometerRefinement, Goniometer\n",
    "from pyFAI.gui import jupyter"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Display of an image and its headers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "List of images: /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_05.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_05.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_06.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_06.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_07.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_07.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_08.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_08.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_09.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_09.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_10.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_10.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_11.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_11.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_12.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_12.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_13.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_13.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_14.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_14.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_15.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_15.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_16.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_16.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_17.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_17.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_18.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_18.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_19.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_19.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_20.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_20.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_21.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_21.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_22.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_22.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_23.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_23.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_24.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_24.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_25.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_25.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_26.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_26.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_27.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_27.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_28.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_28.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_29.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_29.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_30.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_30.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_31.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_31.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_32.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_32.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_33.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_33.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_34.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_34.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_35.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_35.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_36.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_36.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_37.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_37.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_38.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_38.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_39.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_39.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_40.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_40.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_41.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_41.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_42.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_42.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_43.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_43.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_44.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_44.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_45.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_45.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_46.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_46.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_47.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_47.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_48.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_48.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_49.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_49.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_50.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_50.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_51.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_51.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_52.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_52.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_53.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_53.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_54.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_54.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_55.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_55.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_56.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_56.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_57.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_57.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_58.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_58.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_59.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_59.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_60.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_60.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_61.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_61.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_62.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_62.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_63.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_63.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_64.0_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_64.5_0001p.cbf, /tmp/pyFAI_testdata_kieffer/LaB6_gonio_BM20/del_65.0_0001p.cbf.\n",
      "\n",
      "Image headers:\n",
      "_array_data.header_contents: # Detector: PILATUS 2M, 24-0111\r\n",
      "# 2016-05-17T18:12:57.232113\r\n",
      "# Pixel_size 172e-6 m x 172e-6 m\r\n",
      "# Silicon sensor, thickness 0.000450 m\r\n",
      "# Exposure_time 9.9977 s\r\n",
      "# Exposure_period 9.9977 s\r\n",
      "# Tau = 1.991e-07 s\r\n",
      "# Count_cutoff 1071182 counts\r\n",
      "# Threshold_setting: 4024.0 eV\r\n",
      "# Gain_setting: low gain (vrf = -0.300)\r\n",
      "# N_excluded_pixels = 1\r\n",
      "# Excluded_pixels: badpix_mask.tif\r\n",
      "# Flat_field: FF_p2m0111_E26000_T13000_vrf_m0p30.tif\r\n",
      "# Trim_file: p2m0111_E26000_T13000_vrf_m0p30.bin\r\n",
      "# Image_path: /ramdisk/\r\n",
      "# Wavelength 0.7749 A\r\n",
      "# Start_angle 0.00 deg.\r\n",
      "# Angle_increment 0.00 deg.\r\n",
      "# Omega 0.00 deg.\r\n",
      "# Omega_increment 0.00 deg.\r\n",
      "# Phi 0.00 deg.\r\n",
      "# Phi_increment 0.00 deg.\r\n",
      "# Kappa 0.0 deg.\r\n",
      "# Oscillation_axis PHI\r\n",
      "# Detector_distance 0.157 m\r\n",
      "# Detector_Voffset 0.0 m\r\n",
      "# Beam_xy (542.41, 732.4) pixels\r\n",
      "# Flux 0 counts\r\n",
      "# Temperature 0.00 K\r\n",
      "# Blower 0.0 C\r\n",
      "# Lakeshore 0.00 K\n",
      "_array_data.header_convention: PILATUS_1.2\n",
      "Content-Type: application/octet-stream;\n",
      "conversions: x-CBF_BYTE_OFFSET\n",
      "Content-Transfer-Encoding: BINARY\n",
      "X-Binary-Size: 95035\n",
      "X-Binary-ID: 1\n",
      "X-Binary-Element-Type: signed 32-bit integer\n",
      "X-Binary-Element-Byte-Order: LITTLE_ENDIAN\n",
      "Content-MD5: darooj/7FEQRNdNzNDo0XQ==\n",
      "X-Binary-Number-of-Elements: 94965\n",
      "X-Binary-Size-Fastest-Dimension: 487\n",
      "X-Binary-Size-Second-Dimension: 195\n",
      "X-Binary-Size-Padding: 4095\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
    },
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\" width=\"639.8333142648146\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f2c358cf630>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#loading of the list of files, and display of the last one with its headers\n",
    "\n",
    "image_files = [i for i in all_files if i.endswith(\".cbf\")]\n",
    "image_files.sort()\n",
    "print(\"List of images: \" + \", \".join(image_files) + \".\" + os.linesep)\n",
    "fimg = fabio.open(image_files[-1])\n",
    "\n",
    "print(\"Image headers:\")\n",
    "for key, value in  fimg.header.items():\n",
    "    print(\"%s: %s\"%(key,value))\n",
    "    \n",
    "jupyter.display(fimg.data, label=os.path.basename(fimg.filename))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Definition of the geometry transformation\n",
    "\n",
    "This is the most difficult part to understand.\n",
    "\n",
    "The next cell defines 2 functions, one for transforming the geometry and the other one to read the goniometer angle from the metadata"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "filename del_65.0_0001p.cbf angle: 65.0\n"
     ]
    }
   ],
   "source": [
    "#Definition of the goniometer translation function:\n",
    "# The detector rotates vertically, around the horizontal axis, i.e. rot2\n",
    "\n",
    "goniotrans = GeometryTransformation(param_names = [\"dist\", \"poni1\", \"poni2\", \"rot1\",\n",
    "                                                   \"rot2_offset\", \"rot2_scale\"],\n",
    "                                    dist_expr=\"dist\", \n",
    "                                    poni1_expr=\"poni1\",\n",
    "                                    poni2_expr=\"poni2\", \n",
    "                                    rot1_expr=\"rot1\", \n",
    "                                    rot2_expr=\"rot2_scale * pos + rot2_offset\", \n",
    "                                    rot3_expr=\"0.0\")\n",
    "\n",
    "\n",
    "#Definition of the function reading the goniometer angle from the filename of the image.\n",
    "\n",
    "def get_angle(basename):\n",
    "    \"\"\"Takes the basename (like del_65.0_0001p ) and returns the angle of the detector\"\"\"\n",
    "    return float(os.path.basename((basename.split(\"_\")[1])))\n",
    "\n",
    "basename = os.path.basename(fimg.filename)\n",
    "print('filename', basename, \"angle:\",get_angle(basename))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Definition of the detector, its mask, the calibrant\n",
    "mask_files = [i for i in all_files if i.endswith(\"-mask.edf\")]\n",
    "mask = numpy.logical_or(fabio.open(mask_files[0]).data, fabio.open(mask_files[1]).data)\n",
    "pilatus = pyFAI.detector_factory(\"Pilatus100k\")\n",
    "pilatus.mask = mask\n",
    "    \n",
    "LaB6 = pyFAI.calibrant.CALIBRANT_FACTORY(\"LaB6\")\n",
    "wavelength = 7.7490120575e-11\n",
    "LaB6.wavelength = wavelength"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Empty refinement object:\n",
      "GoniometerRefinement with 0 geometries labeled: .\n"
     ]
    }
   ],
   "source": [
    "#Definition of the geometry refinement: the parameter order is the same as the param_names\n",
    "\n",
    "param = {\"dist\":0.8, \n",
    "         \"poni1\":0.02, \n",
    "         \"poni2\":0.04, \n",
    "         \"rot1\":0,\n",
    "         \"rot2_offset\":0,\n",
    "         \"rot2_scale\": numpy.pi/180. # rot2 is in radians, while the motor position is in degrees\n",
    "        }\n",
    "#Defines the bounds for some variables\n",
    "bounds = {\"dist\": (0.79, 0.81), \n",
    "          \"rot1\": (-0.01, 0.01),\n",
    "          \"rot2_offset\": (-0.01, 0.01),\n",
    "          \"rot2_scale\": (numpy.pi/180., numpy.pi/180.) #strict bounds on the scale: we expect the gonio to be precise\n",
    "         }\n",
    "gonioref = GoniometerRefinement(param, #initial guess\n",
    "                                bounds=bounds,\n",
    "                                pos_function=get_angle,\n",
    "                                trans_function=goniotrans,\n",
    "                                detector=pilatus, wavelength=wavelength)\n",
    "print(\"Empty refinement object:\")\n",
    "print(gonioref)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "del_31.5_0001p Angle: 31.5\n",
      "Detector Pilatus 100k\t PixelSize= 1.720e-04, 1.720e-04 m\n",
      "Wavelength= 7.749012e-11m\n",
      "SampleDetDist= 8.058209e-01m\tPONI= 5.700310e-03, 4.599931e-02m\trot1=-0.000000  rot2= 0.560707  rot3= -0.000065 rad\n",
      "DirectBeamDist= 951.518mm\tCenter: x=267.438, y=2975.017 pix\tTilt=32.126 deg  tiltPlanRotation= 90.000 deg\n",
      "\n",
      "del_33.5_0001p Angle: 33.5\n",
      "Detector Pilatus 100k\t PixelSize= 1.720e-04, 1.720e-04 m\n",
      "Wavelength= 7.749012e-11m\n",
      "SampleDetDist= 8.061475e-01m\tPONI= 1.998418e-02, 4.623309e-02m\trot1=0.000061  rot2= 0.577898  rot3= -0.000000 rad\n",
      "DirectBeamDist= 962.435mm\tCenter: x=268.511, y=3172.837 pix\tTilt=33.111 deg  tiltPlanRotation= 90.005 deg\n",
      "\n",
      "del_35.0_0001p Angle: 35.0\n",
      "Detector Pilatus 100k\t PixelSize= 1.720e-04, 1.720e-04 m\n",
      "Wavelength= 7.749012e-11m\n",
      "SampleDetDist= 8.053432e-01m\tPONI= 5.551240e-03, 4.624546e-02m\trot1=-0.000016  rot2= 0.622009  rot3= 0.000012 rad\n",
      "DirectBeamDist= 990.936mm\tCenter: x=268.944, y=3389.181 pix\tTilt=35.638 deg  tiltPlanRotation= 89.999 deg\n",
      "\n",
      "del_35.5_0001p Angle: 35.5\n",
      "Detector Pilatus 100k\t PixelSize= 1.720e-04, 1.720e-04 m\n",
      "Wavelength= 7.749012e-11m\n",
      "SampleDetDist= 8.061272e-01m\tPONI= 5.998339e-03, 3.450065e-02m\trot1=-0.014779  rot2= 0.630136  rot3= 0.000007 rad\n",
      "DirectBeamDist= 997.856mm\tCenter: x=269.857, y=3453.432 pix\tTilt=36.113 deg  tiltPlanRotation= 88.839 deg\n",
      "\n",
      "Filled refinement object:\n",
      "GoniometerRefinement with 4 geometries labeled: del_31.5_0001p, del_33.5_0001p, del_35.0_0001p, del_35.5_0001p.\n"
     ]
    }
   ],
   "source": [
    "#Let's populate the goniometer refinement object with all control point files:\n",
    "\n",
    "ponis = [i for i in all_files if i.endswith(\".poni\")]\n",
    "ponis.sort()\n",
    "for fn in ponis:\n",
    "    base = os.path.splitext(fn)[0]\n",
    "    basename = os.path.basename(base)\n",
    "    fimg = fabio.open(base + \".cbf\")\n",
    "    sg =gonioref.new_geometry(basename, image=fimg.data, metadata=basename, control_points=base+\".npt\",\n",
    "                              geometry=fn, calibrant=LaB6)\n",
    "    print(sg.label, \"Angle:\", sg.get_position())\n",
    "    print(sg.geometry_refinement)\n",
    "    print()\n",
    "    \n",
    "\n",
    "print(\"Filled refinement object:\")\n",
    "print(gonioref)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
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     "output_type": "display_data"
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\" width=\"799.3333095113444\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:matplotlib.legend:No handles with labels found to put in legend.\n",
      "WARNING:matplotlib.legend:No handles with labels found to put in legend.\n",
      "WARNING:matplotlib.legend:No handles with labels found to put in legend.\n"
     ]
    }
   ],
   "source": [
    "#Display all images with associated calibration:\n",
    "nimg = len(gonioref.single_geometries)\n",
    "fig,ax = subplots(nimg, 1, figsize=(8,nimg*3))\n",
    "for i, sg in enumerate(gonioref.single_geometries.values()):\n",
    "    jupyter.display(sg=sg, ax=ax[i])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cost function before refinement: 4.676280279481871e-05\n",
      "[0.8        0.02       0.04       0.         0.         0.01745329]\n",
      "     fun: 3.4745458906298305e-09\n",
      "     jac: array([ 1.55798347e-08,  6.20440474e-08, -8.86844706e-09,  9.38192904e-09,\n",
      "        4.54171479e-08,  5.30001824e-06])\n",
      " message: 'Optimization terminated successfully.'\n",
      "    nfev: 145\n",
      "     nit: 18\n",
      "    njev: 18\n",
      "  status: 0\n",
      " success: True\n",
      "       x: array([ 0.80587963,  0.01626972,  0.04374852, -0.00299843, -0.00217847,\n",
      "        0.01745329])\n",
      "Cost function after refinement: 3.4745458906298305e-09\n",
      "GonioParam(dist=0.8058796325498109, poni1=0.016269720089887214, poni2=0.04374852459791066, rot1=-0.00299843026796996, rot2_offset=-0.002178469918866194, rot2_scale=0.017453292519943295)\n",
      "maxdelta on: dist (0) 0.8 --> 0.8058796325498109\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([ 0.80587963,  0.01626972,  0.04374852, -0.00299843, -0.00217847,\n",
       "        0.01745329])"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Initial refinement of the goniometer model with 5 dof\n",
    "gonioref.refine2()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# This function adds new images to the pool of data used for the refinement.\n",
    "# A set of new control points are extractred and a refinement step is performed at each iteration\n",
    "# The last image of the serie is displayed \n",
    "\n",
    "def optimize_with_new_images(list_images, pts_per_deg=1):\n",
    "    sg = None\n",
    "    for fname in list_images:\n",
    "        print()\n",
    "        basename = os.path.basename(fname)\n",
    "        base = os.path.splitext(basename)[0]\n",
    "        fimg = fabio.open(fname)\n",
    "        if base in gonioref.single_geometries:\n",
    "            continue\n",
    "        print(base)\n",
    "        sg = gonioref.new_geometry(base, image=fimg.data, metadata=base,\n",
    "                                   calibrant=LaB6)\n",
    "        print(sg.extract_cp(pts_per_deg=pts_per_deg))\n",
    "    print(\"*\"*50)\n",
    "    gonioref.refine2()\n",
    "    if sg: \n",
    "        sg.geometry_refinement.set_param(gonioref.get_ai(sg.get_position()).param)\n",
    "        jupyter.display(sg=sg)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\n",
      "del_30.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "# c ring 6: 36 points\n",
      "\n",
      "del_32.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "# d ring 7: 36 points\n",
      "\n",
      "del_34.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "# e ring 8: 36 points\n",
      "\n",
      "\n",
      "del_32.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "# f ring 7: 36 points\n",
      "\n",
      "del_31.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "# g ring 6: 36 points\n",
      "\n",
      "del_38.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "# h ring 10: 30 points\n",
      "\n",
      "del_39.0_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "# i ring 10: 15 points\n",
      "# j ring 11: 30 points\n",
      "\n",
      "del_34.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "# k ring 8: 36 points\n",
      "\n",
      "del_30.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "# l ring 6: 36 points\n",
      "\n",
      "del_38.5_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "# m ring 10: 30 points\n",
      "# n ring 11: 30 points\n",
      "\n",
      "del_37.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "# o ring 10: 30 points\n",
      "\n",
      "del_36.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "# p ring 9: 36 points\n",
      "\n",
      "del_36.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "# q ring 9: 36 points\n",
      "\n",
      "del_39.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "# r ring 11: 30 points\n",
      "\n",
      "del_33.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "# s ring 7: 36 points\n",
      "\n",
      "del_37.0_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "# t ring 9: 36 points\n",
      "# u ring 10: 30 points\n",
      "\n",
      "**************************************************\n",
      "Cost function before refinement: 3.582024796484496e-09\n",
      "[ 0.80587963  0.01626972  0.04374852 -0.00299843 -0.00217847  0.01745329]\n",
      "     fun: 3.5790219587348222e-09\n",
      "     jac: array([-1.06420295e-08,  3.89450292e-08, -3.35843250e-07,  2.71024513e-07,\n",
      "        2.81182564e-08, -3.28887000e-05])\n",
      " message: 'Optimization terminated successfully.'\n",
      "    nfev: 17\n",
      "     nit: 2\n",
      "    njev: 2\n",
      "  status: 0\n",
      " success: True\n",
      "       x: array([ 0.80587963,  0.01627056,  0.0437486 , -0.00299849, -0.00217779,\n",
      "        0.01745329])\n",
      "Cost function after refinement: 3.5790219587348222e-09\n",
      "GonioParam(dist=0.8058796334195173, poni1=0.016270564640587636, poni2=0.043748597301531196, rot1=-0.0029984889357600464, rot2_offset=-0.002177788561569278, rot2_scale=0.017453292519943295)\n",
      "maxdelta on: poni1 (1) 0.016269720089887214 --> 0.016270564640587636\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"639.8333142648146\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Append all other images bewteen 30 and 40 degrees\n",
    "\n",
    "images_30_40 = [i for i in all_files if (\"del_3\" in i and i.endswith(\"0001p.cbf\"))]\n",
    "random.shuffle(images_30_40)\n",
    "optimize_with_new_images(images_30_40, pts_per_deg=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "del_14.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "# v ring 1: 24 points\n",
      "\n",
      "del_22.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "# w ring 3: 17 points\n",
      "\n",
      "\n",
      "del_16.5_0001p\n",
      "ControlPoints instance containing 0 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 0 groups of points:\n",
      "\n",
      "del_45.0_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "# x ring 13: 10 points\n",
      "# y ring 14: 7 points\n",
      "\n",
      "del_21.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "# z ring 3: 17 points\n",
      "\n",
      "del_43.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#aa ring 13: 10 points\n",
      "\n",
      "del_42.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#ab ring 12: 10 points\n",
      "\n",
      "\n",
      "del_13.5_0001p\n",
      "ControlPoints instance containing 0 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 0 groups of points:\n",
      "\n",
      "del_56.0_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#ac ring 21: 8 points\n",
      "#ad ring 22: 8 points\n",
      "\n",
      "del_62.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#ae ring 25: 8 points\n",
      "\n",
      "del_08.5_0001p\n",
      "ControlPoints instance containing 0 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 0 groups of points:\n",
      "\n",
      "del_46.5_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#af ring 14: 7 points\n",
      "#ag ring 15: 10 points\n",
      "\n",
      "del_25.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#ah ring 4: 16 points\n",
      "\n",
      "del_54.5_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#ai ring 20: 8 points\n",
      "#aj ring 21: 3 points\n",
      "\n",
      "del_51.5_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#ak ring 18: 8 points\n",
      "#al ring 19: 8 points\n",
      "\n",
      "del_17.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#am ring 2: 10 points\n",
      "\n",
      "del_06.0_0001p\n",
      "ControlPoints instance containing 0 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 0 groups of points:\n",
      "\n",
      "\n",
      "del_50.5_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#an ring 17: 9 points\n",
      "#ao ring 18: 8 points\n",
      "\n",
      "del_40.0_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#ap ring 11: 10 points\n",
      "#aq ring 12: 10 points\n",
      "\n",
      "del_48.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#ar ring 16: 9 points\n",
      "\n",
      "del_47.5_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#as ring 15: 10 points\n",
      "#at ring 16: 9 points\n",
      "\n",
      "\n",
      "\n",
      "del_49.5_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#au ring 17: 9 points\n",
      "#av ring 18: 3 points\n",
      "\n",
      "del_19.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#aw ring 2: 19 points\n",
      "\n",
      "del_08.0_0001p\n",
      "ControlPoints instance containing 0 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 0 groups of points:\n",
      "\n",
      "del_40.5_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#ax ring 11: 10 points\n",
      "#ay ring 12: 10 points\n",
      "\n",
      "del_12.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#az ring 0: 11 points\n",
      "\n",
      "del_21.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#ba ring 3: 17 points\n",
      "\n",
      "del_57.5_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#bb ring 22: 8 points\n",
      "#bc ring 23: 7 points\n",
      "\n",
      "\n",
      "del_14.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#bd ring 1: 10 points\n",
      "\n",
      "del_61.5_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#be ring 24: 8 points\n",
      "#bf ring 25: 8 points\n",
      "\n",
      "del_54.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#bg ring 20: 8 points\n",
      "\n",
      "del_45.5_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#bh ring 14: 10 points\n",
      "#bi ring 15: 2 points\n",
      "\n",
      "del_50.0_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#bj ring 17: 9 points\n",
      "#bk ring 18: 8 points\n",
      "\n",
      "del_12.5_0001p\n",
      "ControlPoints instance containing 0 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 0 groups of points:\n",
      "\n",
      "del_59.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#bl ring 23: 8 points\n",
      "\n",
      "del_44.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#bm ring 13: 10 points\n",
      "\n",
      "del_07.0_0001p\n",
      "ControlPoints instance containing 0 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 0 groups of points:\n",
      "\n",
      "del_11.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#bn ring 0: 31 points\n",
      "\n",
      "del_53.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#bo ring 20: 8 points\n",
      "\n",
      "del_63.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#bp ring 26: 8 points\n",
      "\n",
      "\n",
      "del_19.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#bq ring 2: 19 points\n",
      "\n",
      "\n",
      "del_60.5_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#br ring 24: 8 points\n",
      "#bs ring 25: 8 points\n",
      "\n",
      "del_15.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#bt ring 1: 24 points\n",
      "\n",
      "del_17.0_0001p\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ControlPoints instance containing 0 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 0 groups of points:\n",
      "\n",
      "del_06.5_0001p\n",
      "ControlPoints instance containing 0 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 0 groups of points:\n",
      "\n",
      "del_41.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#bu ring 12: 10 points\n",
      "\n",
      "del_52.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#bv ring 19: 8 points\n",
      "\n",
      "del_24.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#bw ring 4: 16 points\n",
      "\n",
      "del_63.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#bx ring 26: 8 points\n",
      "\n",
      "del_15.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#by ring 1: 24 points\n",
      "\n",
      "del_24.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#bz ring 4: 16 points\n",
      "\n",
      "del_26.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#ca ring 5: 14 points\n",
      "\n",
      "del_55.5_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#cb ring 20: 8 points\n",
      "#cc ring 21: 8 points\n",
      "\n",
      "del_51.0_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#cd ring 18: 8 points\n",
      "#ce ring 19: 8 points\n",
      "\n",
      "\n",
      "del_05.5_0001p\n",
      "ControlPoints instance containing 0 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 0 groups of points:\n",
      "\n",
      "\n",
      "del_41.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#cf ring 12: 10 points\n",
      "\n",
      "del_16.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#cg ring 1: 24 points\n",
      "\n",
      "del_61.0_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#ch ring 24: 8 points\n",
      "#ci ring 25: 8 points\n",
      "\n",
      "del_27.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#cj ring 5: 14 points\n",
      "\n",
      "\n",
      "del_28.0_0001p\n",
      "ControlPoints instance containing 0 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 0 groups of points:\n",
      "\n",
      "del_10.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#ck ring 0: 31 points\n",
      "\n",
      "del_20.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#cl ring 3: 17 points\n",
      "\n",
      "del_52.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#cm ring 19: 8 points\n",
      "\n",
      "del_64.0_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#cn ring 26: 8 points\n",
      "#co ring 27: 8 points\n",
      "\n",
      "del_23.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#cp ring 4: 16 points\n",
      "\n",
      "del_29.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#cq ring 6: 7 points\n",
      "\n",
      "del_26.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#cr ring 5: 14 points\n",
      "\n",
      "del_28.5_0001p\n",
      "ControlPoints instance containing 0 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 0 groups of points:\n",
      "\n",
      "del_43.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#cs ring 13: 10 points\n",
      "\n",
      "del_49.0_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#ct ring 16: 9 points\n",
      "#cu ring 17: 9 points\n",
      "\n",
      "del_25.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#cv ring 5: 14 points\n",
      "\n",
      "\n",
      "del_11.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#cw ring 0: 29 points\n",
      "\n",
      "\n",
      "del_07.5_0001p\n",
      "ControlPoints instance containing 0 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 0 groups of points:\n",
      "\n",
      "del_18.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#cx ring 2: 19 points\n",
      "\n",
      "del_42.5_0001p\n",
      "ControlPoints instance containing 0 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 0 groups of points:\n",
      "\n",
      "del_48.5_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#cy ring 16: 7 points\n",
      "#cz ring 17: 9 points\n",
      "\n",
      "del_29.0_0001p\n",
      "ControlPoints instance containing 0 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 0 groups of points:\n",
      "\n",
      "del_59.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#da ring 24: 8 points\n",
      "\n",
      "\n",
      "del_46.0_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#db ring 14: 10 points\n",
      "#dc ring 15: 8 points\n",
      "\n",
      "del_05.0_0001p\n",
      "ControlPoints instance containing 0 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 0 groups of points:\n",
      "\n",
      "del_57.0_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#dd ring 22: 8 points\n",
      "#de ring 23: 8 points\n",
      "\n",
      "del_44.5_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#df ring 13: 10 points\n",
      "#dg ring 14: 10 points\n",
      "\n",
      "del_64.5_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#dh ring 26: 8 points\n",
      "#di ring 27: 8 points\n",
      "\n",
      "del_09.0_0001p\n",
      "ControlPoints instance containing 0 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 0 groups of points:\n",
      "\n",
      "del_20.0_0001p\n",
      "ControlPoints instance containing 0 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 0 groups of points:\n",
      "\n",
      "del_65.0_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#dj ring 27: 8 points\n",
      "#dk ring 28: 8 points\n",
      "\n",
      "del_53.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#dl ring 19: 8 points\n",
      "\n",
      "del_56.5_0001p\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#dm ring 21: 8 points\n",
      "#dn ring 22: 8 points\n",
      "\n",
      "\n",
      "del_58.0_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#do ring 22: 8 points\n",
      "#dp ring 23: 8 points\n",
      "\n",
      "del_22.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#dq ring 3: 17 points\n",
      "\n",
      "del_58.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#dr ring 23: 8 points\n",
      "\n",
      "del_62.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#ds ring 25: 8 points\n",
      "\n",
      "\n",
      "del_13.0_0001p\n",
      "ControlPoints instance containing 0 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 0 groups of points:\n",
      "\n",
      "del_23.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#dt ring 4: 11 points\n",
      "\n",
      "\n",
      "\n",
      "del_27.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#du ring 5: 14 points\n",
      "\n",
      "\n",
      "del_18.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#dv ring 2: 19 points\n",
      "\n",
      "\n",
      "del_10.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#dw ring 0: 34 points\n",
      "\n",
      "del_47.0_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#dx ring 15: 10 points\n",
      "#dy ring 16: 9 points\n",
      "\n",
      "del_60.0_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#dz ring 24: 8 points\n",
      "\n",
      "del_55.0_0001p\n",
      "ControlPoints instance containing 2 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 2 groups of points:\n",
      "#ea ring 20: 8 points\n",
      "#eb ring 21: 8 points\n",
      "\n",
      "del_09.5_0001p\n",
      "ControlPoints instance containing 1 group of point:\n",
      "LaB6 Calibrant with 97 reflections at wavelength 7.7490120575e-11\n",
      "Containing 1 groups of points:\n",
      "#ec ring 0: 14 points\n",
      "**************************************************\n",
      "Cost function before refinement: 1.609657739575046e-08\n",
      "[ 0.80587963  0.01627056  0.0437486  -0.00299849 -0.00217779  0.01745329]\n",
      "     fun: 1.2903503416446349e-08\n",
      "     jac: array([-1.70767899e-07,  9.78198480e-07, -2.33664775e-08,  1.20104294e-08,\n",
      "        7.92163367e-07, -1.01847068e-03])\n",
      " message: 'Optimization terminated successfully.'\n",
      "    nfev: 49\n",
      "     nit: 6\n",
      "    njev: 6\n",
      "  status: 0\n",
      " success: True\n",
      "       x: array([ 0.8058912 ,  0.01627466,  0.04325018, -0.00259556, -0.00217431,\n",
      "        0.01745329])\n",
      "Cost function after refinement: 1.2903503416446349e-08\n",
      "GonioParam(dist=0.8058912011469677, poni1=0.016274660442947866, poni2=0.04325017773008254, rot1=-0.002595557069761727, rot2_offset=-0.002174308845373118, rot2_scale=0.017453292519943295)\n",
      "maxdelta on: poni2 (2) 0.043748597301531196 --> 0.04325017773008254\n"
     ]
    },
    {
     "data": {
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       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"639.8333142648146\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Append all other images\n",
    "\n",
    "all_images = [i for i in all_files if i.endswith(\".cbf\")]\n",
    "random.shuffle(all_images)\n",
    "optimize_with_new_images(all_images)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "First & last rings\n",
      "Total number of images: 121\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"639.8333142648146\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Check the calibration of the first and the last image with rings\n",
    "\n",
    "print(\"First & last rings\")\n",
    "\n",
    "print(\"Total number of images:\", len(gonioref.single_geometries) )\n",
    "\n",
    "fig = plt.figure()\n",
    "for idx,lbl in enumerate([\"del_10.0_0001p\", \"del_65.0_0001p\"]):\n",
    "    sg = gonioref.single_geometries[lbl]\n",
    "    if sg.control_points.get_labels():\n",
    "        sg.geometry_refinement.set_param(gonioref.get_ai(sg.get_position()).param)\n",
    "    jupyter.display(sg=sg, ax=fig.add_subplot(2, 1, idx+1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Cost function before refinement: 1.2903503416446349e-08\n",
      "[ 0.8058912   0.01627466  0.04325018 -0.00259556 -0.00217431  0.01745329]\n",
      "     fun: 1.1321237441899918e-08\n",
      "     jac: array([-2.86700800e-08, -9.90962374e-09,  7.09803684e-07, -5.69464221e-07,\n",
      "       -6.61744490e-11,  3.06056827e-09])\n",
      " message: 'Optimization terminated successfully.'\n",
      "    nfev: 36\n",
      "     nit: 4\n",
      "    njev: 4\n",
      "  status: 0\n",
      " success: True\n",
      "       x: array([ 0.80589156,  0.01622293,  0.04324937, -0.00259489, -0.002216  ,\n",
      "        0.01745626])\n",
      "Cost function after refinement: 1.1321237441899918e-08\n",
      "GonioParam(dist=0.8058915552563914, poni1=0.016222929330872625, poni2=0.0432493741063233, rot1=-0.0025948933174144355, rot2_offset=-0.0022159967978951298, rot2_scale=0.017456256856840643)\n",
      "maxdelta on: poni1 (1) 0.016274660442947866 --> 0.016222929330872625\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([ 0.80589156,  0.01622293,  0.04324937, -0.00259489, -0.002216  ,\n",
       "        0.01745626])"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Final pass of refinement with all constrains removed, very fine refinement\n",
    "\n",
    "gonioref.bounds = None\n",
    "gonioref.refine2(\"slsqp\", eps=1e-13, maxiter=10000, ftol=1e-12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MultiGeometry integrator with 121 geometries on (4, 66) radial range (2th_deg) and (-180, 180) azimuthal range (deg)\n"
     ]
    }
   ],
   "source": [
    "#Create a MultiGeometry integrator from the refined geometry:\n",
    "\n",
    "angles = []\n",
    "images = []\n",
    "for sg in gonioref.single_geometries.values():\n",
    "    angles.append(sg.get_position())\n",
    "    images.append(sg.image)\n",
    "    \n",
    "multigeo = gonioref.get_mg(angles)\n",
    "multigeo.radial_range=(4, 66)\n",
    "print(multigeo)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of bins: 5070\n"
     ]
    }
   ],
   "source": [
    "# Calculate the optimal number of point for integration\n",
    "over = 1\n",
    "npt = int(over * numpy.deg2rad(max(multigeo.radial_range) - min(multigeo.radial_range)) / \n",
    "          numpy.arctan2(pilatus.pixel1, gonioref.nt_param(*gonioref.param).dist))\n",
    "print(\"Number of bins: %s\"%npt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"639.8333142648146\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f2c291d4908>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Integrate the whole set of images in a single run:\n",
    "\n",
    "res = multigeo.integrate1d(images, npt)\n",
    "jupyter.plot1d(res)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Save the goniometer configuration with 1 angle\n",
    "\n",
    "gonioref.save(\"ROBL_v1.json\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.1321237441899918e-08 1.1321237441899918e-08\n",
      "Cost function before refinement: 1.1321237441899918e-08\n",
      "[ 0.80589156  0.01622293  0.04324937 -0.00259489  0.         -0.002216\n",
      "  0.01745626]\n",
      "     fun: 4.29159679894562e-09\n",
      "     jac: array([ 1.00210262e-08, -1.24585576e-07, -7.40878919e-09,  6.21942337e-09,\n",
      "        2.64893502e-08, -1.03079464e-07, -3.68984654e-06])\n",
      " message: 'Optimization terminated successfully.'\n",
      "    nfev: 121\n",
      "     nit: 13\n",
      "    njev: 13\n",
      "  status: 0\n",
      " success: True\n",
      "       x: array([ 8.05902278e-01,  1.62085164e-02,  4.16662296e-02, -1.31478861e-03,\n",
      "       -1.34502235e-04, -2.22757570e-03,  1.74566331e-02])\n",
      "Cost function after refinement: 4.29159679894562e-09\n",
      "GonioParam(dist=0.805902278484708, poni1=0.016208516446331325, poni2=0.04166622955511484, rot1=-0.0013147886139059967, rot1_scale=-0.00013450223489802968, rot2_offset=-0.0022275756973726725, rot2_scale=0.01745663308651905)\n",
      "maxdelta on: poni2 (2) 0.0432493741063233 --> 0.04166622955511484\n"
     ]
    }
   ],
   "source": [
    "#Can the refinement be improved by freeing another degree of freedom ? what about rot1 ?\n",
    "\n",
    "goniotrans2 = GeometryTransformation(param_names = [\"dist\", \"poni1\", \"poni2\", \n",
    "                                                    \"rot1\", \"rot1_scale\",\n",
    "                                                    \"rot2_offset\", \"rot2_scale\"],\n",
    "                                     dist_expr=\"dist\", \n",
    "                                     poni1_expr=\"poni1\",\n",
    "                                     poni2_expr=\"poni2\", \n",
    "                                     rot1_expr=\"rot1_scale * pos + rot1\", \n",
    "                                     rot2_expr=\"rot2_scale * pos + rot2_offset\", \n",
    "                                     rot3_expr=\"0.0\")\n",
    "\n",
    "param2 = (gonioref.nt_param(*gonioref.param))._asdict()\n",
    "param2[\"rot1_scale\"] = 0\n",
    "\n",
    "gonioref2 = GoniometerRefinement(param2, \n",
    "                                 pos_function = get_angle,\n",
    "                                 trans_function=goniotrans2,\n",
    "                                 detector=pilatus,\n",
    "                                 wavelength=wavelength)\n",
    "gonioref2.single_geometries = gonioref.single_geometries.copy()\n",
    "\n",
    "print(gonioref2.chi2(), gonioref.chi2())\n",
    "gonioref2.refine2()\n",
    "gonioref2.save(\"ROBL_v2.json\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "First & last rings\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"639.8333142648146\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Check the calibration of the first and the last image with rings\n",
    "\n",
    "print(\"First & last rings\")\n",
    "\n",
    "fig = plt.figure()\n",
    "for idx,lbl in enumerate([\"del_10.0_0001p\", \"del_65.0_0001p\"]):\n",
    "    sg = gonioref.single_geometries[lbl]\n",
    "    if sg.control_points.get_labels():\n",
    "        sg.geometry_refinement.set_param(gonioref2.get_ai(sg.get_position()).param)\n",
    "    jupyter.display(sg=sg, ax=fig.add_subplot(2, 1, idx+1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MultiGeometry integrator with 121 geometries on (4, 66) radial range (2th_deg) and (-180, 180) azimuthal range (deg)\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"999.1666368891804\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f2c28ff79e8>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Create a MultiGeometry integrator from the refined geometry and display the integrated image:\n",
    "\n",
    "multigeo2 = gonioref2.get_mg(angles)\n",
    "multigeo2.radial_range=(4, 66)\n",
    "print(multigeo2)\n",
    "\n",
    "res2 = multigeo2.integrate1d(images, npt)\n",
    "\n",
    "#Display the 2 curves with a zoom\n",
    "fig = figure(figsize=(10,5))\n",
    "ax = fig.add_subplot(1,2,1)\n",
    "ax.plot(*res2, label=\"rot1 & rot2 rotation\")\n",
    "ax.plot(*res, label=\"rot2 only rotation\")\n",
    "ax.set_xlabel(res.unit.label)\n",
    "ax.set_ylabel(\"Intensity\")\n",
    "ax.set_title(\"Azimuthal integration of 121 images merged\")\n",
    "ax.legend()\n",
    "ay = fig.add_subplot(1,2,2)\n",
    "ay.plot(*res2, label=\"rot1 & rot2 rotation\")\n",
    "ay.plot(*res, label=\"rot2 only rotation\")\n",
    "ay.set_xlabel(res.unit.label)\n",
    "ay.set_ylabel(\"Intensity\")\n",
    "ay.set_xlim(10.5,11)\n",
    "ay.set_title(\"Zoom on first peak\")\n",
    "ay.legend()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With the first model, the refinement was not perfect on the very low angles and indicates a miss-fit. Relaxing the constrains on *rot1* allowed to spot a non (perfect) orthogonality between the goniometer axis and the incident beam. Releasing the distances is also possible, for example to cope with the sample not perfectly mounted on the center of the goniometer. \n",
    "\n",
    "## Evaluation of the peak-profile\n",
    "\n",
    "For every peak, as listed in the calibrant's definition, the peak height can be extracted and the nearest minimum evaluated. The the full width at half maximum can be measured an ploted as function of the scattering angle. \n",
    "The FWHM can be fitted against Caglioti's formula: \n",
    "\n",
    "FWHM² = U tan² $\\theta$ + V tan $\\theta$ + W"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Line profile function...\n",
    "#Peak profile\n",
    "\n",
    "from scipy.interpolate import interp1d\n",
    "from scipy.optimize import bisect\n",
    "\n",
    "def calc_fwhm(integrate_result, calibrant):\n",
    "    \"calculate the tth position and FWHM for each peak\"\n",
    "    delta = integrate_result.intensity[1:] - integrate_result.intensity[:-1]\n",
    "    maxima = numpy.where(numpy.logical_and(delta[:-1]>0, delta[1:]<0))[0]\n",
    "    minima = numpy.where(numpy.logical_and(delta[:-1]<0, delta[1:]>0))[0]\n",
    "    maxima += 1\n",
    "    minima += 1\n",
    "    tth = []\n",
    "    FWHM = []\n",
    "    for tth_rad in calibrant.get_2th():\n",
    "        tth_deg = tth_rad*integrate_result.unit.scale\n",
    "        if (tth_deg<=integrate_result.radial[0]) or (tth_deg>=integrate_result.radial[-1]):\n",
    "            continue\n",
    "        idx_theo = abs(integrate_result.radial-tth_deg).argmin()\n",
    "        id0_max = abs(maxima-idx_theo).argmin()\n",
    "        id0_min = abs(minima-idx_theo).argmin()\n",
    "        I_max = integrate_result.intensity[maxima[id0_max]]\n",
    "        I_min = integrate_result.intensity[minima[id0_min]]\n",
    "        tth_maxi = integrate_result.radial[maxima[id0_max]]\n",
    "        I_thres = (I_max + I_min)/2.0\n",
    "        if minima[id0_min]>maxima[id0_max]:\n",
    "            if id0_min == 0:\n",
    "                min_lo = integrate_result.radial[0]\n",
    "            else:\n",
    "                min_lo = integrate_result.radial[minima[id0_min-1]]\n",
    "            min_hi = integrate_result.radial[minima[id0_min]]\n",
    "        else:\n",
    "            if id0_min == len(minima) -1:\n",
    "                min_hi = integrate_result.radial[-1]\n",
    "            else:\n",
    "                min_hi = integrate_result.radial[minima[id0_min+1]]\n",
    "            min_lo = integrate_result.radial[minima[id0_min]]\n",
    "\n",
    "        f = interp1d(integrate_result.radial, integrate_result.intensity-I_thres)\n",
    "        tth_lo = bisect(f, min_lo, tth_maxi)\n",
    "        tth_hi = bisect(f, tth_maxi, min_hi)\n",
    "        FWHM.append(tth_hi-tth_lo)\n",
    "        tth.append(tth_deg)\n",
    "    return tth, FWHM\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to  previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" 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      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f2c28faba90>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig, ax = subplots()\n",
    "ax.plot(*calc_fwhm(res, LaB6), \"o\", label=\"rot2\")\n",
    "ax.plot(*calc_fwhm(res2, LaB6), \"o\", label=\"rot1 + 2\")\n",
    "# for lbl, sg in gonioref2d.single_geometries.items():\n",
    "#     ai = gonioref2d.get_ai(sg.get_position())\n",
    "#     img = sg.image * ai.dist * ai.dist / ai.pixel1 / ai.pixel2\n",
    "#     res = ai.integrate1d(img, 5000, unit=\"2th_deg\", method=\"splitpixel\")\n",
    "#     t,w = calc_fwhm(res, calibrant=calibrant)\n",
    "#     ax.plot(t, w,\"-o\", label=lbl)\n",
    "ax.set_title(\"Peak profile as function of the angle\")\n",
    "ax.set_ylabel(\"FWHM of peaks (in degrees)\")\n",
    "ax.set_xlabel(res.unit.label)\n",
    "ax.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ 1.63968396e-07 -4.81064658e-09  1.60828280e-07]\n",
      "[[ 4.05085049e-14 -3.04622148e-14  4.74283171e-15]\n",
      " [-3.04622148e-14  2.38735603e-14 -3.93876292e-15]\n",
      " [ 4.74283171e-15 -3.93876292e-15  7.22061071e-16]]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f2c29142d30>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Fit against Caglioti's formula:\n",
    "# FWHM^2 = Utan2 + Vtan + W\n",
    "tth_deg, FWHM_deg = calc_fwhm(res2, LaB6)\n",
    "\n",
    "def model_Caglioti(tth_deg, U, V, W):\n",
    "    tantheta = numpy.tan(numpy.deg2rad(tth_deg)/2.0)\n",
    "    FWHM2 = U*tantheta*tantheta + V*tantheta + W\n",
    "    return numpy.rad2deg(sqrt(FWHM2))\n",
    "\n",
    "from scipy.optimize import curve_fit\n",
    "fit,cov = curve_fit(model_Caglioti, tth_deg, FWHM_deg, p0=[1e-6,1e-7,1e-8])\n",
    "print(fit)\n",
    "print(cov)\n",
    "ax.plot(tth_deg, model_Caglioti(tth_deg, *fit), label=\"U:%.1e, V:%.1e, W:%.1e\"%(fit[0], fit[1], fit[2]))\n",
    "ax.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total execution time: 31.825s\n"
     ]
    }
   ],
   "source": [
    "print(\"Total execution time: %.3fs\"%(time.time() - start_time))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conclusion\n",
    "\n",
    "This notebook exposes the how to calibrate the goniometer for a small detector moving on a 2theta arm. \n",
    "Once calibrated, the geometry can be saved and restored and stays valid as long as the detector or the goniometer is not unmounted from the beam-line. This configuration can subsequently be used to integrate the data acquired with any  sample, in minutes instead of hours. The resolution limit is now the pixel size. Fortunately, pixel detector with small pixel like the MaxiPix or the Lambda detector exists and offer higher resolution."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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