tutorial/Express data readout.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys, os\n",
    "import dask\n",
    "from dask.diagnostics import ProgressBar\n",
    "\n",
    "sys.path.append(os.path.dirname(os.getcwd()) ) # add hextof-processor to path\n",
    "from processor.DldFlashDataframeCreatorExpress import DldFlashProcessorExpress, DldProcessor\n",
    "# from processor.DldFlashDataframeCreator import DldFlashProcessor # Only necessary for comparing with old data\n",
    "from processor.utilities import calibration, diagnostics, misc, io, vis,dfops\n",
    "settings = 'Jonas_2020_express'\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# first time readout: slow"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using settings from Jonas_2020_express.ini\n"
     ]
    }
   ],
   "source": [
    "# prc = readData(35995,settings=settings)\n",
    "prc = DldFlashProcessorExpress(35993,settings=settings)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Reading Run 35993: 0 new files of 6 total.\n",
      "Loading 6 dataframes. Failed reading 0 files.\n",
      "elapsed time: 4.488099080044776\n"
     ]
    }
   ],
   "source": [
    "from timeit import default_timer as timer\n",
    "start = timer()\n",
    "prc.readData()\n",
    "end = timer()\n",
    "print(f'elapsed time: {end - start}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>trainId</th>\n",
       "      <th>pulseId</th>\n",
       "      <th>electronId</th>\n",
       "      <th>bam</th>\n",
       "      <th>delayStage</th>\n",
       "      <th>sampleBias</th>\n",
       "      <th>tofVoltage</th>\n",
       "      <th>extractorVoltage</th>\n",
       "      <th>extractorCurrent</th>\n",
       "      <th>cryoTemperature</th>\n",
       "      <th>sampleTemperature</th>\n",
       "      <th>dldTimeBinSize</th>\n",
       "      <th>gmdBda</th>\n",
       "      <th>gmdTunnel</th>\n",
       "      <th>monochromatorPhotonEnergy</th>\n",
       "      <th>timeStamp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>919172668</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-22.907343</td>\n",
       "      <td>NaN</td>\n",
       "      <td>104.996567</td>\n",
       "      <td>20.000412</td>\n",
       "      <td>7999.680176</td>\n",
       "      <td>-0.080545</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.020576</td>\n",
       "      <td>0.088405</td>\n",
       "      <td>1.660796</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.606679e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>919172668</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-22.914923</td>\n",
       "      <td>NaN</td>\n",
       "      <td>104.996567</td>\n",
       "      <td>20.000412</td>\n",
       "      <td>7999.680176</td>\n",
       "      <td>-0.080545</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.020576</td>\n",
       "      <td>0.083220</td>\n",
       "      <td>1.148948</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.606679e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>919172668</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-22.919708</td>\n",
       "      <td>NaN</td>\n",
       "      <td>104.996567</td>\n",
       "      <td>20.000412</td>\n",
       "      <td>7999.680176</td>\n",
       "      <td>-0.080545</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.020576</td>\n",
       "      <td>-0.011837</td>\n",
       "      <td>1.487896</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.606679e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>919172668</td>\n",
       "      <td>3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-22.936136</td>\n",
       "      <td>NaN</td>\n",
       "      <td>104.996567</td>\n",
       "      <td>20.000412</td>\n",
       "      <td>7999.680176</td>\n",
       "      <td>-0.080545</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.020576</td>\n",
       "      <td>0.010519</td>\n",
       "      <td>1.724742</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.606679e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>919172668</td>\n",
       "      <td>4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>-22.957195</td>\n",
       "      <td>NaN</td>\n",
       "      <td>104.996567</td>\n",
       "      <td>20.000412</td>\n",
       "      <td>7999.680176</td>\n",
       "      <td>-0.080545</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.020576</td>\n",
       "      <td>0.035510</td>\n",
       "      <td>1.587589</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.606679e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230312</th>\n",
       "      <td>919183009</td>\n",
       "      <td>797</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1869.811035</td>\n",
       "      <td>104.997169</td>\n",
       "      <td>19.997734</td>\n",
       "      <td>7999.700195</td>\n",
       "      <td>-0.082871</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.020576</td>\n",
       "      <td>0.011190</td>\n",
       "      <td>1.838074</td>\n",
       "      <td>112.321259</td>\n",
       "      <td>1.606680e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230313</th>\n",
       "      <td>919183009</td>\n",
       "      <td>798</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1869.811035</td>\n",
       "      <td>104.997169</td>\n",
       "      <td>19.997734</td>\n",
       "      <td>7999.700195</td>\n",
       "      <td>-0.082871</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.020576</td>\n",
       "      <td>0.011190</td>\n",
       "      <td>1.838074</td>\n",
       "      <td>112.321259</td>\n",
       "      <td>1.606680e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230314</th>\n",
       "      <td>919183009</td>\n",
       "      <td>799</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1869.811035</td>\n",
       "      <td>104.997169</td>\n",
       "      <td>19.997734</td>\n",
       "      <td>7999.700195</td>\n",
       "      <td>-0.082871</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.020576</td>\n",
       "      <td>0.011190</td>\n",
       "      <td>1.838074</td>\n",
       "      <td>112.321259</td>\n",
       "      <td>1.606680e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230315</th>\n",
       "      <td>919183009</td>\n",
       "      <td>800</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1869.811035</td>\n",
       "      <td>104.997169</td>\n",
       "      <td>19.997734</td>\n",
       "      <td>7999.700195</td>\n",
       "      <td>-0.082871</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.020576</td>\n",
       "      <td>0.011190</td>\n",
       "      <td>1.838074</td>\n",
       "      <td>112.321259</td>\n",
       "      <td>1.606680e+09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>230316</th>\n",
       "      <td>919183009</td>\n",
       "      <td>801</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1869.811035</td>\n",
       "      <td>104.997169</td>\n",
       "      <td>19.997734</td>\n",
       "      <td>7999.700195</td>\n",
       "      <td>-0.082871</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.020576</td>\n",
       "      <td>0.011190</td>\n",
       "      <td>1.838074</td>\n",
       "      <td>112.321259</td>\n",
       "      <td>1.606680e+09</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8296831 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          trainId  pulseId  electronId        bam   delayStage  sampleBias  \\\n",
       "0       919172668        0         NaN -22.907343          NaN  104.996567   \n",
       "1       919172668        1         NaN -22.914923          NaN  104.996567   \n",
       "2       919172668        2         NaN -22.919708          NaN  104.996567   \n",
       "3       919172668        3         NaN -22.936136          NaN  104.996567   \n",
       "4       919172668        4         0.0 -22.957195          NaN  104.996567   \n",
       "...           ...      ...         ...        ...          ...         ...   \n",
       "230312  919183009      797         NaN   0.000000  1869.811035  104.997169   \n",
       "230313  919183009      798         NaN   0.000000  1869.811035  104.997169   \n",
       "230314  919183009      799         NaN   0.000000  1869.811035  104.997169   \n",
       "230315  919183009      800         NaN   0.000000  1869.811035  104.997169   \n",
       "230316  919183009      801         NaN   0.000000  1869.811035  104.997169   \n",
       "\n",
       "        tofVoltage  extractorVoltage  extractorCurrent  cryoTemperature  \\\n",
       "0        20.000412       7999.680176         -0.080545              0.0   \n",
       "1        20.000412       7999.680176         -0.080545              0.0   \n",
       "2        20.000412       7999.680176         -0.080545              0.0   \n",
       "3        20.000412       7999.680176         -0.080545              0.0   \n",
       "4        20.000412       7999.680176         -0.080545              0.0   \n",
       "...            ...               ...               ...              ...   \n",
       "230312   19.997734       7999.700195         -0.082871              0.0   \n",
       "230313   19.997734       7999.700195         -0.082871              0.0   \n",
       "230314   19.997734       7999.700195         -0.082871              0.0   \n",
       "230315   19.997734       7999.700195         -0.082871              0.0   \n",
       "230316   19.997734       7999.700195         -0.082871              0.0   \n",
       "\n",
       "        sampleTemperature  dldTimeBinSize    gmdBda  gmdTunnel  \\\n",
       "0                     0.0        0.020576  0.088405   1.660796   \n",
       "1                     0.0        0.020576  0.083220   1.148948   \n",
       "2                     0.0        0.020576 -0.011837   1.487896   \n",
       "3                     0.0        0.020576  0.010519   1.724742   \n",
       "4                     0.0        0.020576  0.035510   1.587589   \n",
       "...                   ...             ...       ...        ...   \n",
       "230312                0.0        0.020576  0.011190   1.838074   \n",
       "230313                0.0        0.020576  0.011190   1.838074   \n",
       "230314                0.0        0.020576  0.011190   1.838074   \n",
       "230315                0.0        0.020576  0.011190   1.838074   \n",
       "230316                0.0        0.020576  0.011190   1.838074   \n",
       "\n",
       "        monochromatorPhotonEnergy     timeStamp  \n",
       "0                             NaN  1.606679e+09  \n",
       "1                             NaN  1.606679e+09  \n",
       "2                             NaN  1.606679e+09  \n",
       "3                             NaN  1.606679e+09  \n",
       "4                             NaN  1.606679e+09  \n",
       "...                           ...           ...  \n",
       "230312                 112.321259  1.606680e+09  \n",
       "230313                 112.321259  1.606680e+09  \n",
       "230314                 112.321259  1.606680e+09  \n",
       "230315                 112.321259  1.606680e+09  \n",
       "230316                 112.321259  1.606680e+09  \n",
       "\n",
       "[8296831 rows x 16 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prc.ddMicrobunches.compute()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Second time readout: one new file just arrived! very fast :)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "reading runs_ run35995: 0 new files of 29 total.\n",
      "Loading 29 dataframes. Failed reading 0 files.\n",
      "elapsed time: 7.61269421223551\n"
     ]
    }
   ],
   "source": [
    "start = timer()\n",
    "prc.readData()\n",
    "end = timer()\n",
    "print(f'elapsed time: {end - start}')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Binning and compare to old readout"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "95638293f8964361a6d9856eb82d4946",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/1 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Generating metadata...\n",
      "Failed creating metadata: 'DAQ channels'\n"
     ]
    }
   ],
   "source": [
    "# prc = readData(35990,settings=settings)\n",
    "prc.addBinning('dldTime',580,800,0.01)\n",
    "res = prc.computeBinnedData()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><strong>Dask DataFrame Structure:</strong></div>\n",
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>trainId</th>\n",
       "      <th>pulseId</th>\n",
       "      <th>electronId</th>\n",
       "      <th>bam</th>\n",
       "      <th>delayStage</th>\n",
       "      <th>cryoTemperature</th>\n",
       "      <th>dldTimeBinSize</th>\n",
       "      <th>extractorCurrent</th>\n",
       "      <th>extractorVoltage</th>\n",
       "      <th>sampleBias</th>\n",
       "      <th>sampleTemperature</th>\n",
       "      <th>tofVoltage</th>\n",
       "      <th>dldPosX</th>\n",
       "      <th>dldPosY</th>\n",
       "      <th>dldTime</th>\n",
       "      <th>gmdBda</th>\n",
       "      <th>gmdTunnel</th>\n",
       "      <th>monochromatorPhotonEnergy</th>\n",
       "      <th>opticalDiode</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>npartitions=27</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>int64</td>\n",
       "      <td>int64</td>\n",
       "      <td>float64</td>\n",
       "      <td>float32</td>\n",
       "      <td>float64</td>\n",
       "      <td>float64</td>\n",
       "      <td>float64</td>\n",
       "      <td>float64</td>\n",
       "      <td>float64</td>\n",
       "      <td>float64</td>\n",
       "      <td>float64</td>\n",
       "      <td>float64</td>\n",
       "      <td>float32</td>\n",
       "      <td>float32</td>\n",
       "      <td>float32</td>\n",
       "      <td>float32</td>\n",
       "      <td>float32</td>\n",
       "      <td>float64</td>\n",
       "      <td>float32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "<div>Dask Name: dropna, 539 tasks</div>"
      ],
      "text/plain": [
       "Dask DataFrame Structure:\n",
       "               trainId pulseId electronId      bam delayStage cryoTemperature dldTimeBinSize extractorCurrent extractorVoltage sampleBias sampleTemperature tofVoltage  dldPosX  dldPosY  dldTime   gmdBda gmdTunnel monochromatorPhotonEnergy opticalDiode\n",
       "npartitions=27                                                                                                                                                                                                                                             \n",
       "                 int64   int64    float64  float32    float64         float64        float64          float64          float64    float64           float64    float64  float32  float32  float32  float32   float32                   float64      float32\n",
       "                   ...     ...        ...      ...        ...             ...            ...              ...              ...        ...               ...        ...      ...      ...      ...      ...       ...                       ...          ...\n",
       "...                ...     ...        ...      ...        ...             ...            ...              ...              ...        ...               ...        ...      ...      ...      ...      ...       ...                       ...          ...\n",
       "                   ...     ...        ...      ...        ...             ...            ...              ...              ...        ...               ...        ...      ...      ...      ...      ...       ...                       ...          ...\n",
       "                   ...     ...        ...      ...        ...             ...            ...              ...              ...        ...               ...        ...      ...      ...      ...      ...       ...                       ...          ...\n",
       "Dask Name: dropna, 539 tasks"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prc.dd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using settings from Jonas_2020_express.ini\n",
      "Searching for parquet data from run35990...\n",
      "no run info available.\n",
      "Loading complete.\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1db2e862e9284bd69180bba7d3a17418",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/3 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Failed creating metadata: 'forced to skip metadata creation'\n"
     ]
    }
   ],
   "source": [
    "prcold = DldFlashProcessor(settings=settings)\n",
    "prcold.runNumber = 35990\n",
    "prcold.readDataframes()\n",
    "prcold.addBinning('dldTime',580,800,0.01)\n",
    "resold = prc.computeBinnedData()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\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(\n",
       "            '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",
       "\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 = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(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 (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.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 = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\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 toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\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",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\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",
       "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",
       "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], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.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,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\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",
       "        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.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\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",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\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(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\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(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\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",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\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",
       "        }\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",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\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",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\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, 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",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\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\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"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 = \"pdf\";/* global mpl */\n",
       "\n",
       "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 = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\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;\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",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\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.innerHTML =\n",
       "        '<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 / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<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 () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\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",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('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",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\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",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\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(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"550\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x2aeda397b5d0>]"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.figure()\n",
    "res.plot()\n",
    "resold.plot()\n",
    "(res-resold).plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'readData' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-7-870534404c34>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mprc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mreadData\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m35990\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0msettings\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0msettings\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mprc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mresetBins\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0mprc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maddBinning\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'dldTime'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m580\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m800\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m0.01\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0mprc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maddBinning\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'dldPosX'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m400\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m900\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m4\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0mprc\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0maddBinning\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'dldPosY'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m400\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m900\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m4\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mNameError\u001b[0m: name 'readData' is not defined"
     ]
    }
   ],
   "source": [
    "prc = readData(35990,settings=settings)\n",
    "prc.resetBins()\n",
    "prc.addBinning('dldTime',580,800,0.01)\n",
    "prc.addBinning('dldPosX',400,900,4)\n",
    "prc.addBinning('dldPosY',400,900,4)\n",
    "prc.addBinning('delayStage',*dask.compute(prc.dd.delayStage.min(),prc.dd.delayStage.max()),0.5)\n",
    "res4D = prc.computeBinnedData()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\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(\n",
       "            '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",
       "\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 = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(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 (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.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 = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\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 toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\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",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\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",
       "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",
       "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], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.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,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\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",
       "        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.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\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",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\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(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\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(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\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",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\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",
       "        }\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",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\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",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\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, 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",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\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\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"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 = \"pdf\";/* global mpl */\n",
       "\n",
       "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 = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\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;\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",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\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.innerHTML =\n",
       "        '<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 / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<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 () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\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",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('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",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\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",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\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(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"900\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x2af110e1a6d0>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f,ax = plt.subplots(1,3,figsize=(9,3))\n",
    "r = res4D.mean('delayStage')\n",
    "img = r.sel(dldPosX=slice(640,660)).mean('dldPosX')\n",
    "img = img/img.mean('dldTime')\n",
    "img.plot(cmap='terrain',robust=True,ax=ax[0])\n",
    "img = r.sel(dldPosY=slice(640,660)).mean('dldPosY')\n",
    "img = img/img.mean('dldTime')\n",
    "img.plot(cmap='terrain',robust=True,ax=ax[1])\n",
    "img = r.sel(dldTime=slice(710,720)).mean('dldTime')\n",
    "img.plot(cmap='terrain',robust=True,ax=ax[2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\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(\n",
       "            '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",
       "\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 = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(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 (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.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 = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\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 toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\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",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\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",
       "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",
       "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], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.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,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\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",
       "        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.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\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",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\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(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\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(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\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",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\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",
       "        }\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",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\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",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\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, 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",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\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\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"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 = \"pdf\";/* global mpl */\n",
       "\n",
       "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 = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\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;\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",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\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.innerHTML =\n",
       "        '<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 / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<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 () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\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",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('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",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\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",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\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(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"550\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x2af0d9fbec90>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "plt.figure()\n",
    "res4D.mean(('dldPosX','dldPosY')).plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# with calibrations\n",
    "### parameters are taken from the default values defined in the given settings file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using settings from Jonas_2020_express.ini\n",
      "reading runs run35990: 0 new files of 27 total.\n",
      "Loading 27 dataframes. Failed reading 0 files.\n",
      "computing energy offsets...\n",
      "[########################################] | 100% Completed |  6.4s\n"
     ]
    }
   ],
   "source": [
    "prc = readData(35990,settings=settings)\n",
    "prc.calibrateEnergy()\n",
    "prc.calibrateMomentum()\n",
    "prc.calibratePumpProbeTime(t0=1870)\n",
    "prc.resetBins()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9c2514e3db6544aa99ca19ea1748f462",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/3 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Failed creating metadata: 'forced to skip metadata creation'\n"
     ]
    }
   ],
   "source": [
    "prc.resetBins()\n",
    "prc.addBinning('energy',-43,-36,0.02)\n",
    "# prc.addBinning('kx',-240,240,12)\n",
    "# prc.addBinning('ky',-240,240,12)\n",
    "prc.addBinning('pumpProbeTime',-1,3,.05)\n",
    "res = prc.computeBinnedData()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\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(\n",
       "            '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",
       "\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 = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(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 (fig.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: fig.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 = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\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 toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\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",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\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",
       "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",
       "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], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.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,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\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",
       "        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.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\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",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\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(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\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(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\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",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\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",
       "        }\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",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\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",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\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, 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",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\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\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"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 = \"pdf\";/* global mpl */\n",
       "\n",
       "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 = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\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;\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",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\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.innerHTML =\n",
       "        '<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 / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<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 () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\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",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('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",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\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",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\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(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img src=\"data:image/png;base64,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\" width=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x2af0d93e1f90>"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f,ax = plt.subplots(1,2,figsize=(8,4))\n",
    "img = res/res.mean('energy')\n",
    "img.plot(cmap='terrain',robust=True,ax=ax[0])\n",
    "unp = img.sel(pumpProbeTime=slice(-10,-0.2)).mean('pumpProbeTime')\n",
    "diff = (img-unp)\n",
    "diff.plot(cmap='bwr',robust=True,ax=ax[1])\n",
    "# pump = res.sel(pumpProbeTime=slice()).mean('pumpProbeTime')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><strong>Dask DataFrame Structure:</strong></div>\n",
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>dldPosX</th>\n",
       "      <th>dldPosY</th>\n",
       "      <th>dldTime</th>\n",
       "      <th>sampleBias</th>\n",
       "      <th>tofVoltage</th>\n",
       "      <th>extractorVoltage</th>\n",
       "      <th>delayStage</th>\n",
       "      <th>streakCamera</th>\n",
       "      <th>bam</th>\n",
       "      <th>dldMicrobunchId</th>\n",
       "      <th>dldDetectorId</th>\n",
       "      <th>dldSectorId</th>\n",
       "      <th>opticalDiode</th>\n",
       "      <th>gmdTunnel</th>\n",
       "      <th>gmdBda</th>\n",
       "      <th>monochromatorPhotonEnergy</th>\n",
       "      <th>macroBunchPulseId</th>\n",
       "      <th>timeStamp</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>npartitions=611</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>137760</th>\n",
       "      <td>float64</td>\n",
       "      <td>float64</td>\n",
       "      <td>float64</td>\n",
       "      <td>float64</td>\n",
       "      <td>float64</td>\n",
       "      <td>float64</td>\n",
       "      <td>float64</td>\n",
       "      <td>float64</td>\n",
       "      <td>float64</td>\n",
       "      <td>float64</td>\n",
       "      <td>float64</td>\n",
       "      <td>float64</td>\n",
       "      <td>float64</td>\n",
       "      <td>float64</td>\n",
       "      <td>float64</td>\n",
       "      <td>float64</td>\n",
       "      <td>float64</td>\n",
       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200000</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61100004</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61180019</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "<div>Dask Name: read-parquet, 611 tasks</div>"
      ],
      "text/plain": [
       "Dask DataFrame Structure:\n",
       "                 dldPosX  dldPosY  dldTime sampleBias tofVoltage extractorVoltage delayStage streakCamera      bam dldMicrobunchId dldDetectorId dldSectorId opticalDiode gmdTunnel   gmdBda monochromatorPhotonEnergy macroBunchPulseId timeStamp\n",
       "npartitions=611                                                                                                                                                                                                                                   \n",
       "137760           float64  float64  float64    float64    float64          float64    float64      float64  float64         float64       float64     float64      float64   float64  float64                   float64           float64   float64\n",
       "200000               ...      ...      ...        ...        ...              ...        ...          ...      ...             ...           ...         ...          ...       ...      ...                       ...               ...       ...\n",
       "...                  ...      ...      ...        ...        ...              ...        ...          ...      ...             ...           ...         ...          ...       ...      ...                       ...               ...       ...\n",
       "61100004             ...      ...      ...        ...        ...              ...        ...          ...      ...             ...           ...         ...          ...       ...      ...                       ...               ...       ...\n",
       "61180019             ...      ...      ...        ...        ...              ...        ...          ...      ...             ...           ...         ...          ...       ...      ...                       ...               ...       ...\n",
       "Dask Name: read-parquet, 611 tasks"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prcold.dd.dldTime."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div><strong>Dask DataFrame Structure:</strong></div>\n",
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>trainId</th>\n",
       "      <th>pulseId</th>\n",
       "      <th>electronId</th>\n",
       "      <th>bam</th>\n",
       "      <th>delayStage</th>\n",
       "      <th>cryoTemperature</th>\n",
       "      <th>dldTimeBinSize</th>\n",
       "      <th>extractorCurrent</th>\n",
       "      <th>extractorVoltage</th>\n",
       "      <th>sampleBias</th>\n",
       "      <th>sampleTemperature</th>\n",
       "      <th>tofVoltage</th>\n",
       "      <th>dldPosX</th>\n",
       "      <th>dldPosY</th>\n",
       "      <th>dldTime</th>\n",
       "      <th>gmdBda</th>\n",
       "      <th>gmdTunnel</th>\n",
       "      <th>monochromatorPhotonEnergy</th>\n",
       "      <th>opticalDiode</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>npartitions=27</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>int64</td>\n",
       "      <td>int64</td>\n",
       "      <td>float64</td>\n",
       "      <td>float32</td>\n",
       "      <td>float64</td>\n",
       "      <td>float64</td>\n",
       "      <td>float64</td>\n",
       "      <td>float64</td>\n",
       "      <td>float64</td>\n",
       "      <td>float64</td>\n",
       "      <td>float64</td>\n",
       "      <td>float64</td>\n",
       "      <td>float32</td>\n",
       "      <td>float32</td>\n",
       "      <td>float32</td>\n",
       "      <td>float32</td>\n",
       "      <td>float32</td>\n",
       "      <td>float64</td>\n",
       "      <td>float32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "<div>Dask Name: dropna, 539 tasks</div>"
      ],
      "text/plain": [
       "Dask DataFrame Structure:\n",
       "               trainId pulseId electronId      bam delayStage cryoTemperature dldTimeBinSize extractorCurrent extractorVoltage sampleBias sampleTemperature tofVoltage  dldPosX  dldPosY  dldTime   gmdBda gmdTunnel monochromatorPhotonEnergy opticalDiode\n",
       "npartitions=27                                                                                                                                                                                                                                             \n",
       "                 int64   int64    float64  float32    float64         float64        float64          float64          float64    float64           float64    float64  float32  float32  float32  float32   float32                   float64      float32\n",
       "                   ...     ...        ...      ...        ...             ...            ...              ...              ...        ...               ...        ...      ...      ...      ...      ...       ...                       ...          ...\n",
       "...                ...     ...        ...      ...        ...             ...            ...              ...              ...        ...               ...        ...      ...      ...      ...      ...       ...                       ...          ...\n",
       "                   ...     ...        ...      ...        ...             ...            ...              ...              ...        ...               ...        ...      ...      ...      ...      ...       ...                       ...          ...\n",
       "                   ...     ...        ...      ...        ...             ...            ...              ...              ...        ...               ...        ...      ...      ...      ...      ...       ...                       ...          ...\n",
       "Dask Name: dropna, 539 tasks"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prc.dd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:hextof-express]",
   "language": "python",
   "name": "conda-env-hextof-express-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}