test_respmat_meas_sofb.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-19T16:28:41.884388Z",
     "start_time": "2020-03-19T16:28:40.450223Z"
    },
    "init_cell": true
   },
   "outputs": [],
   "source": [
    "import time\n",
    "import datetime\n",
    "import numpy as np\n",
    "\n",
    "%matplotlib notebook\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.gridspec as mpl_gs\n",
    "import matplotlib.cm as cm\n",
    "import matplotlib.dates as mdates\n",
    "from matplotlib import rcParams\n",
    "rcParams.update({'font.size': 16,'lines.linewidth':2})\n",
    "\n",
    "from siriuspy.clientarch import ClientArchiver\n",
    "from siriuspy.sofb import SOFB, EpicsCorrectors, EpicsMatrix, EpicsOrbit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-19T16:28:41.975542Z",
     "start_time": "2020-03-19T16:28:41.886130Z"
    },
    "init_cell": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "urllib3 InsecureRequestWarning disabled!\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "client = ClientArchiver()\n",
    "client.login('fernando.sa', 'boo500mev')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2020-03-19T16:28:42.756291Z",
     "start_time": "2020-03-19T16:28:41.977325Z"
    },
    "init_cell": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "ERROR:root:Failed to get value from BO-01U:PS-CH\n",
      "ERROR:root:Failed to get value from BO-03U:PS-CH\n",
      "ERROR:root:Failed to get value from BO-05U:PS-CH\n",
      "ERROR:root:Failed to get value from BO-07U:PS-CH\n",
      "ERROR:root:Failed to get value from BO-09U:PS-CH\n",
      "ERROR:root:Failed to get value from BO-11U:PS-CH\n",
      "ERROR:root:Failed to get value from BO-13U:PS-CH\n",
      "ERROR:root:Failed to get value from BO-15U:PS-CH\n",
      "ERROR:root:Failed to get value from BO-17U:PS-CH\n",
      "ERROR:root:Failed to get value from BO-19U:PS-CH\n",
      "ERROR:root:Failed to get value from BO-21U:PS-CH\n",
      "ERROR:root:Failed to get value from BO-23U:PS-CH\n",
      "ERROR:root:Failed to get value from BO-25U:PS-CH\n",
      "ERROR:root:Failed to get value from BO-27U:PS-CH\n",
      "ERROR:root:Failed to get value from BO-29U:PS-CH\n",
      "ERROR:root:Failed to get value from BO-31U:PS-CH\n",
      "ERROR:root:Failed to get value from BO-33U:PS-CH\n",
      "ERROR:root:Failed to get value from BO-35U:PS-CH\n",
      "ERROR:root:Failed to get value from BO-37U:PS-CH\n",
      "ERROR:root:Failed to get value from BO-39U:PS-CH\n",
      "ERROR:root:Failed to get value from BO-41U:PS-CH\n",
      "ERROR:root:Failed to get value from BO-43U:PS-CH\n",
      "ERROR:root:Failed to get value from BO-45U:PS-CH\n",
      "ERROR:root:Failed to get value from BO-47U:PS-CH\n",
      "ERROR:root:Failed to get value from BO-49D:PS-CH\n",
      "ERROR:root:Failed to get value from BO-03U:PS-CV\n",
      "ERROR:root:Failed to get value from BO-05U:PS-CV\n",
      "ERROR:root:Failed to get value from BO-07U:PS-CV\n",
      "ERROR:root:Failed to get value from BO-09U:PS-CV\n",
      "ERROR:root:Failed to get value from BO-11U:PS-CV\n",
      "ERROR:root:Failed to get value from BO-13U:PS-CV\n",
      "ERROR:root:Failed to get value from BO-15U:PS-CV\n",
      "ERROR:root:Failed to get value from BO-17U:PS-CV\n",
      "ERROR:root:Failed to get value from BO-19U:PS-CV\n",
      "ERROR:root:Failed to get value from BO-21U:PS-CV\n",
      "ERROR:root:Failed to get value from BO-23U:PS-CV\n",
      "ERROR:root:Failed to get value from BO-25U:PS-CV\n",
      "ERROR:root:Failed to get value from BO-27U:PS-CV\n",
      "ERROR:root:Failed to get value from BO-29U:PS-CV\n",
      "ERROR:root:Failed to get value from BO-31U:PS-CV\n",
      "ERROR:root:Failed to get value from BO-33U:PS-CV\n",
      "ERROR:root:Failed to get value from BO-35U:PS-CV\n",
      "ERROR:root:Failed to get value from BO-37U:PS-CV\n",
      "ERROR:root:Failed to get value from BO-39U:PS-CV\n",
      "ERROR:root:Failed to get value from BO-41U:PS-CV\n",
      "ERROR:root:Failed to get value from BO-43U:PS-CV\n",
      "ERROR:root:Failed to get value from BO-45U:PS-CV\n",
      "ERROR:root:Failed to get value from BO-47U:PS-CV\n",
      "ERROR:root:Failed to get value from BO-49U:PS-CV\n",
      "ERROR:root:Failed to get value from BO-01U:PS-CV\n"
     ]
    }
   ],
   "source": [
    "corrs = EpicsCorrectors('BO')\n",
    "matrix = EpicsMatrix('BO')\n",
    "orbit = EpicsOrbit('BO')\n",
    "sofb = SOFB('BO', matrix=matrix, orbit=orbit, correctors=corrs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-10-04T18:33:40.239712Z",
     "start_time": "2019-10-04T18:33:40.225296Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sofb.orbit.set_orbit_mode(sofb.csorb.SOFBMode.MultiTurn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-10-04T18:33:42.813739Z",
     "start_time": "2019-10-04T18:33:42.797106Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-2245.50764347,   486.75775375,  5478.65525831,  1837.54291975,\n",
       "       -3262.87931053, -2639.64566498, -3782.10622634, -3195.80388577,\n",
       "        3951.61704914, -6219.23436689, -4722.89038874,  3946.99156967,\n",
       "       -5085.6192398 , -2704.09386614,  6888.28916977,  1743.18193772,\n",
       "        -923.01236487,   426.67862906,  1059.58489207,  -220.81447491,\n",
       "        4294.33685381,  -927.35455502,  4525.50406664,  4214.59556289,\n",
       "        1756.51342422,  5253.08808081,  -973.29908143, -2612.8016356 ,\n",
       "        1593.2057031 , -3113.15906688,  1942.2601983 , -4330.0725903 ,\n",
       "        1714.70494299,  -628.25494875,   520.07134949,  3506.25844832,\n",
       "         159.49627899, -3526.23146732,  2363.02030361,  1711.61195758,\n",
       "        1976.29581313, -1852.36683431,  3304.33547057,   691.58877843,\n",
       "         127.55503771,  4324.96017824, -1089.41335841, -1892.91210733,\n",
       "        2121.94924964, -3664.48139798,  2032.37005331,   178.66787223,\n",
       "        -247.01903122, -3410.29207298, -6636.65850673, -4148.09457658,\n",
       "        2494.42832538,  1594.18300896, -1706.39657123,  1951.6015501 ,\n",
       "        -323.92283234, -6728.94902382, -2554.37458494, -3686.42133725,\n",
       "         155.42493763,   387.48112917, -2200.22729434,   357.88818991,\n",
       "        1059.58489207, -6217.37532797,   440.73837459, -2919.21142131,\n",
       "        3246.67852565,  -690.12155687, -3519.41416998, -2363.88963636,\n",
       "        1894.0776225 ,  -788.72560277,  2630.87556695,  4284.18522623,\n",
       "        -421.62943806, -2843.10975453, -3216.85791908,  5381.45238961,\n",
       "       -4291.46779224,  5485.89441952, -4577.44535666,  3006.17574732,\n",
       "        2615.47453662,  -368.61092242,  1093.84832444,  2339.91907181,\n",
       "       -4326.91694248,  1353.57416539,  6050.41184882,  -959.4769766 ,\n",
       "        -222.65382508,  2828.26412172, -4709.29114019,  1265.4148325 ])"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING:root:Timeout waiting bpms.\n"
     ]
    }
   ],
   "source": [
    "sofb.orbit.get_orbit()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-10-04T19:01:28.812530Z",
     "start_time": "2019-10-04T19:01:28.797220Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "ERROR:root:AS-Glob:RF-Gen not connected.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n"
     ]
    }
   ],
   "source": [
    "sofb.set_respmat_wait_time(1)\n",
    "sofb.set_respmat_meas_state(sofb.csorb.MeasRespMatCmd.Start)\n",
    "# sofb.set_respmat_meas_state(sofb.csorb.MeasRespMatCmd.Stop)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-10-04T18:36:57.618477Z",
     "start_time": "2019-10-04T18:33:49.449571Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "ERROR:root:AS-Glob:RF-Gen not connected.\n",
      "ERROR:root:timing not configured.\n",
      "WARNING:root:NrSingValues had to be set to 50.\n"
     ]
    }
   ],
   "source": [
    "while sofb._measuring_respmat:\n",
    "    time.sleep(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-10-04T19:10:58.071777Z",
     "start_time": "2019-10-04T19:10:56.782919Z"
    }
   },
   "outputs": [],
   "source": [
    "ini_time = datetime.datetime(2019, 10, 4, 15, 45, 0)\n",
    "end_time = datetime.datetime(2019, 10, 4, 17, 10, 0)\n",
    "strini = ini_time.isoformat() + '-03:00'\n",
    "strend = end_time.isoformat() + '-03:00'\n",
    "sp_data = dict()\n",
    "rb_data = dict()\n",
    "ref_data = dict()\n",
    "for corr in sofb.correctors._corrs:\n",
    "    name = corr.name\n",
    "    if 'RF' in name:\n",
    "        continue\n",
    "    time, data, *_ = client.getData(name+':Kick-SP', strini, strend)\n",
    "    sp_data[name] = {'x': time, 'y': data}\n",
    "    time, data, *_ = client.getData(name+':Kick-RB', strini, strend)\n",
    "    rb_data[name] = {'x': time, 'y': data}\n",
    "    time, data, *_ = client.getData(name+':KickRef-Mon', strini, strend)\n",
    "    ref_data[name] = {'x': time, 'y': data}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-10-04T19:12:23.833262Z",
     "start_time": "2019-10-04T19:12:23.641677Z"
    },
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "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"
    }
   ],
   "source": [
    "f  = plt.figure(figsize=(9, 10))\n",
    "# f.autofmt_xdate()\n",
    "gs = mpl_gs.GridSpec(3, 1)\n",
    "gs.update(left=0.10, right=0.82, top=0.97, bottom=0.05, hspace=0.4)\n",
    "ax1 = plt.subplot(gs[0, 0])\n",
    "ax2 = plt.subplot(gs[1, 0])\n",
    "ax3 = plt.subplot(gs[2, 0])\n",
    "\n",
    "ini = datetime.datetime(2019, 10, 4, 16, 1, 0)\n",
    "dlt = datetime.timedelta(minutes=3.5)\n",
    "myFmt = mdates.DateFormatter('%H:%M')\n",
    "\n",
    "infos = [\n",
    "    {'title': 'SP', 'ylabel': 'Kick-SP [urad]'},\n",
    "    {'title': 'RB', 'ylabel': 'Kick-RB [urad]'},\n",
    "    {'title': 'Ref', 'ylabel': 'Kick-Ref [urad]'}, ]\n",
    "datas = [sp_data, rb_data, ref_data]\n",
    "axs = [ax1, ax2, ax3]\n",
    "\n",
    "indcs = np.linspace(0, 1, len(sp_data))\n",
    "cmap = cm.brg(indcs)\n",
    "for ax, dta, info in zip(axs, datas, infos):\n",
    "    for i, k in enumerate(sorted(dta)):\n",
    "        x = [datetime.datetime.fromtimestamp(i) for i in dta[k]['x']]\n",
    "        y = dta[k]['y']\n",
    "        ax.step(x, y, where='post', color=cmap[i])\n",
    "    ax.set_title(info['title'])\n",
    "    ax.xaxis.set_major_formatter(myFmt)\n",
    "    ax.grid(True)\n",
    "    ax.set_xlim([ini, ini+dlt])\n",
    "#     ax.set_xlabel('')\n",
    "    ax.set_ylabel(info['ylabel'])\n",
    "ax3.legend(sorted(sp_data), bbox_to_anchor=(1.25, 1.7), loc='center right', ncol=1, fontsize='xx-small')\n",
    "f.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "celltoolbar": "Initialization Cell",
  "hide_input": false,
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}