{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Title\n",
    "* Wenchang Yang (wenchang@prnceton.edu)\n",
    "* Department of Geosciences, Princeton University"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-13T17:19:23.325046Z",
     "start_time": "2019-03-13T17:18:54.520394Z"
    },
    "code_folding": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "**2019-03-13T13:18:54.522602**\n",
      ">>> Importing Python 3.7.1 packages...\n",
      "[OK]: import sys, os, os.path, datetime, glob\n",
      "[OK]: import numpy as np-1.16.2\n",
      "[OK]: import matplotlib as mpl-3.0.3; backend: module://ipykernel.pylab.backend_inline\n",
      "[OK]: #---import matplotlib.pyplot as plt\n",
      "[OK]: #---from pylab import *\n",
      "[OK]: import xarray as xr-0.11.3\n",
      "[OK]: #---import netCDF4\n",
      "[OK]: #---import dask\n",
      "[OK]: #---import bottleneck\n",
      "[OK]: import pandas as pd-0.24.1\n",
      "[OK]: from mpl_toolkits.basemap import Basemap\n",
      "      PROJ_LIB = /tigress/wenchang/miniconda3p7/share/proj\n",
      ">>>Import packages from Wenchang Yang (wython)...\n",
      "[OK]: import geoplots as gt\n",
      "[OK]: from geoplots import geoplot, fxyplot, mapplot, xticksyear\n",
      "[OK]: import geoxarray\n",
      "[OK]: import filter\n",
      "[OK]: import xlearn\n",
      "[OK]: import mysignal as sig\n",
      "**Done**\n"
     ]
    }
   ],
   "source": [
    "# init\n",
    "%run -im pythonstartup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-13T17:23:02.376922Z",
     "start_time": "2019-03-13T17:23:02.271273Z"
    }
   },
   "outputs": [],
   "source": [
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-12T20:14:32.022088Z",
     "start_time": "2019-03-12T20:14:31.910645Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table style=\"border: 2px solid white;\">\n",
       "<tr>\n",
       "<td style=\"vertical-align: top; border: 0px solid white\">\n",
       "<h3>Client</h3>\n",
       "<ul>\n",
       "  <li><b>Scheduler: </b>tcp://127.0.0.1:8982\n",
       "  <li><b>Dashboard: </b><a href='http://127.0.0.1:8984/status' target='_blank'>http://127.0.0.1:8984/status</a>\n",
       "</ul>\n",
       "</td>\n",
       "<td style=\"vertical-align: top; border: 0px solid white\">\n",
       "<h3>Cluster</h3>\n",
       "<ul>\n",
       "  <li><b>Workers: </b>4</li>\n",
       "  <li><b>Cores: </b>16</li>\n",
       "  <li><b>Memory: </b>162.00 GB</li>\n",
       "</ul>\n",
       "</td>\n",
       "</tr>\n",
       "</table>"
      ],
      "text/plain": [
       "<Client: scheduler='tcp://127.0.0.1:8982' processes=4 cores=16>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# misc\n",
    "from dask.distributed import Client\n",
    "client = Client('127.0.0.1:8982')\n",
    "client"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-13T17:19:32.246804Z",
     "start_time": "2019-03-13T17:19:32.160914Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (ien: 5, lat: 96, lon: 144, month: 120, volc: 52)\n",
       "Coordinates:\n",
       "  * ien      (ien) int32 1 2 3 4 5\n",
       "  * volc     (volc) object 0870-04-01 00:00:00 ... 1991-06-01 00:00:00\n",
       "  * month    (month) int32 -60 -59 -58 -57 -56 -55 -54 ... 53 54 55 56 57 58 59\n",
       "  * lat      (lat) float64 -90.0 -88.11 -86.21 -84.32 ... 84.32 86.21 88.11 90.0\n",
       "  * lon      (lon) float64 0.0 2.5 5.0 7.5 10.0 ... 350.0 352.5 355.0 357.5\n",
       "Data variables:\n",
       "    ts_a     (ien, volc, month, lat, lon) float32 ..."
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# data\n",
    "ifile = 'data/ts_a.nc'\n",
    "ds = xr.open_dataset(ifile)\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-13T20:04:52.057050Z",
     "start_time": "2019-03-13T20:04:52.039327Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([cftime.DatetimeNoLeap(870, 4, 1, 0, 0, 0, 0, 1, 91),\n",
       "       cftime.DatetimeNoLeap(901, 4, 1, 0, 0, 0, 0, 4, 91),\n",
       "       cftime.DatetimeNoLeap(933, 4, 1, 0, 0, 0, 0, 1, 91),\n",
       "       cftime.DatetimeNoLeap(961, 4, 1, 0, 0, 0, 0, 1, 91),\n",
       "       cftime.DatetimeNoLeap(1001, 4, 1, 0, 0, 0, 0, 6, 91),\n",
       "       cftime.DatetimeNoLeap(1081, 4, 1, 0, 0, 0, 0, 2, 91),\n",
       "       cftime.DatetimeNoLeap(1158, 4, 1, 0, 0, 0, 0, 2, 91),\n",
       "       cftime.DatetimeNoLeap(1176, 5, 1, 0, 0, 0, 0, 1, 121),\n",
       "       cftime.DatetimeNoLeap(1213, 4, 1, 0, 0, 0, 0, 1, 91),\n",
       "       cftime.DatetimeNoLeap(1232, 4, 1, 0, 0, 0, 0, 6, 91),\n",
       "       cftime.DatetimeNoLeap(1258, 4, 1, 0, 0, 0, 0, 4, 91),\n",
       "       cftime.DatetimeNoLeap(1268, 4, 1, 0, 0, 0, 0, 0, 91),\n",
       "       cftime.DatetimeNoLeap(1275, 4, 1, 0, 0, 0, 0, 0, 91),\n",
       "       cftime.DatetimeNoLeap(1284, 4, 1, 0, 0, 0, 0, 2, 91),\n",
       "       cftime.DatetimeNoLeap(1328, 4, 1, 0, 0, 0, 0, 4, 91),\n",
       "       cftime.DatetimeNoLeap(1341, 4, 1, 0, 0, 0, 0, 3, 91),\n",
       "       cftime.DatetimeNoLeap(1452, 4, 1, 0, 0, 0, 0, 2, 91),\n",
       "       cftime.DatetimeNoLeap(1459, 4, 1, 0, 0, 0, 0, 2, 91),\n",
       "       cftime.DatetimeNoLeap(1584, 4, 1, 0, 0, 0, 0, 1, 91),\n",
       "       cftime.DatetimeNoLeap(1600, 2, 1, 0, 0, 0, 0, 0, 32),\n",
       "       cftime.DatetimeNoLeap(1641, 1, 1, 0, 0, 0, 0, 3, 1),\n",
       "       cftime.DatetimeNoLeap(1673, 5, 1, 0, 0, 0, 0, 1, 121),\n",
       "       cftime.DatetimeNoLeap(1693, 6, 1, 0, 0, 0, 0, 3, 152),\n",
       "       cftime.DatetimeNoLeap(1719, 4, 1, 0, 0, 0, 0, 3, 91),\n",
       "       cftime.DatetimeNoLeap(1761, 9, 1, 0, 0, 0, 0, 2, 244),\n",
       "       cftime.DatetimeNoLeap(1809, 4, 1, 0, 0, 0, 0, 2, 91),\n",
       "       cftime.DatetimeNoLeap(1815, 4, 1, 0, 0, 0, 0, 1, 91),\n",
       "       cftime.DatetimeNoLeap(1835, 1, 1, 0, 0, 0, 0, 1, 1),\n",
       "       cftime.DatetimeNoLeap(1883, 8, 1, 0, 0, 0, 0, 2, 213),\n",
       "       cftime.DatetimeNoLeap(1890, 2, 1, 0, 0, 0, 0, 3, 32),\n",
       "       cftime.DatetimeNoLeap(1902, 6, 1, 0, 0, 0, 0, 2, 152),\n",
       "       cftime.DatetimeNoLeap(1963, 3, 1, 0, 0, 0, 0, 6, 60),\n",
       "       cftime.DatetimeNoLeap(1982, 5, 1, 0, 0, 0, 0, 2, 121),\n",
       "       cftime.DatetimeNoLeap(1991, 6, 1, 0, 0, 0, 0, 0, 152)],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds2 = xr.open_dataset('eruptions_855_2000_large.nc') \\\n",
    "    .rename(ivolc='time').assign_coords(time=ds2.t_erupt_start.values)\n",
    "t_erupt_starts = ds2.colmass_global.pipe(lambda x: ds2.t_erupt_start[x>x[-1]/2]).values\n",
    "ds2 = ds2.sel(time=t_erupt_starts)\n",
    "t_erupt_starts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-13T20:05:54.120557Z",
     "start_time": "2019-03-13T20:05:54.110224Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CFTimeIndex([0865-04-01 00:00:00, 0896-04-01 00:00:00, 0928-04-01 00:00:00,\n",
       "             0956-04-01 00:00:00, 0996-04-01 00:00:00, 1076-04-01 00:00:00,\n",
       "             1153-04-01 00:00:00, 1171-05-01 00:00:00, 1208-04-01 00:00:00,\n",
       "             1227-04-01 00:00:00, 1253-04-01 00:00:00, 1263-04-01 00:00:00,\n",
       "             1270-04-01 00:00:00, 1279-04-01 00:00:00, 1323-04-01 00:00:00,\n",
       "             1336-04-01 00:00:00, 1447-04-01 00:00:00, 1454-04-01 00:00:00,\n",
       "             1579-04-01 00:00:00, 1595-02-01 00:00:00, 1636-01-01 00:00:00,\n",
       "             1668-05-01 00:00:00, 1688-06-01 00:00:00, 1714-04-01 00:00:00,\n",
       "             1756-09-01 00:00:00, 1804-04-01 00:00:00, 1810-04-01 00:00:00,\n",
       "             1830-01-01 00:00:00, 1878-08-01 00:00:00, 1885-02-01 00:00:00,\n",
       "             1897-06-01 00:00:00, 1958-03-01 00:00:00, 1977-05-01 00:00:00,\n",
       "             1986-06-01 00:00:00],\n",
       "            dtype='object')"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t_erupt_shifts = ds2.indexes['time'].shift(-60, 'MS')\n",
    "t_erupt_shifts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-13T20:10:05.765416Z",
     "start_time": "2019-03-13T20:10:05.723679Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1; 2; 3; 4; 5; 6; 7; 8; 9; 10; 11; 13; 14; 15; 16; 18; 19; 20; 21; 22; 23; 24; 25; 27; 28; 30; 31; 32; 33; "
     ]
    },
    {
     "data": {
      "text/plain": [
       "30"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ivolcs = [0,]\n",
    "for i in range(1, ds2.time.size):\n",
    "    if t_erupt_shifts[i] > ds2.t_erupt_end[i-1]:\n",
    "        ivolcs.append(i)\n",
    "        print(i, end='; ')\n",
    "len(ivolcs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-13T20:10:07.750033Z",
     "start_time": "2019-03-13T20:10:07.742909Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([cftime.DatetimeNoLeap(870, 4, 1, 0, 0, 0, 0, 1, 91),\n",
       "       cftime.DatetimeNoLeap(901, 4, 1, 0, 0, 0, 0, 4, 91),\n",
       "       cftime.DatetimeNoLeap(933, 4, 1, 0, 0, 0, 0, 1, 91),\n",
       "       cftime.DatetimeNoLeap(961, 4, 1, 0, 0, 0, 0, 1, 91),\n",
       "       cftime.DatetimeNoLeap(1001, 4, 1, 0, 0, 0, 0, 6, 91),\n",
       "       cftime.DatetimeNoLeap(1081, 4, 1, 0, 0, 0, 0, 2, 91),\n",
       "       cftime.DatetimeNoLeap(1158, 4, 1, 0, 0, 0, 0, 2, 91),\n",
       "       cftime.DatetimeNoLeap(1176, 5, 1, 0, 0, 0, 0, 1, 121),\n",
       "       cftime.DatetimeNoLeap(1213, 4, 1, 0, 0, 0, 0, 1, 91),\n",
       "       cftime.DatetimeNoLeap(1232, 4, 1, 0, 0, 0, 0, 6, 91),\n",
       "       cftime.DatetimeNoLeap(1258, 4, 1, 0, 0, 0, 0, 4, 91),\n",
       "       cftime.DatetimeNoLeap(1268, 4, 1, 0, 0, 0, 0, 0, 91),\n",
       "       cftime.DatetimeNoLeap(1284, 4, 1, 0, 0, 0, 0, 2, 91),\n",
       "       cftime.DatetimeNoLeap(1328, 4, 1, 0, 0, 0, 0, 4, 91),\n",
       "       cftime.DatetimeNoLeap(1341, 4, 1, 0, 0, 0, 0, 3, 91),\n",
       "       cftime.DatetimeNoLeap(1452, 4, 1, 0, 0, 0, 0, 2, 91),\n",
       "       cftime.DatetimeNoLeap(1584, 4, 1, 0, 0, 0, 0, 1, 91),\n",
       "       cftime.DatetimeNoLeap(1600, 2, 1, 0, 0, 0, 0, 0, 32),\n",
       "       cftime.DatetimeNoLeap(1641, 1, 1, 0, 0, 0, 0, 3, 1),\n",
       "       cftime.DatetimeNoLeap(1673, 5, 1, 0, 0, 0, 0, 1, 121),\n",
       "       cftime.DatetimeNoLeap(1693, 6, 1, 0, 0, 0, 0, 3, 152),\n",
       "       cftime.DatetimeNoLeap(1719, 4, 1, 0, 0, 0, 0, 3, 91),\n",
       "       cftime.DatetimeNoLeap(1761, 9, 1, 0, 0, 0, 0, 2, 244),\n",
       "       cftime.DatetimeNoLeap(1809, 4, 1, 0, 0, 0, 0, 2, 91),\n",
       "       cftime.DatetimeNoLeap(1835, 1, 1, 0, 0, 0, 0, 1, 1),\n",
       "       cftime.DatetimeNoLeap(1883, 8, 1, 0, 0, 0, 0, 2, 213),\n",
       "       cftime.DatetimeNoLeap(1902, 6, 1, 0, 0, 0, 0, 2, 152),\n",
       "       cftime.DatetimeNoLeap(1963, 3, 1, 0, 0, 0, 0, 6, 60),\n",
       "       cftime.DatetimeNoLeap(1982, 5, 1, 0, 0, 0, 0, 2, 121),\n",
       "       cftime.DatetimeNoLeap(1991, 6, 1, 0, 0, 0, 0, 0, 152)],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "volcs = t_erupt_starts[ivolcs]\n",
    "volcs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-13T20:10:17.390184Z",
     "start_time": "2019-03-13T20:10:17.385986Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "30"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(volcs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-13T17:21:50.976528Z",
     "start_time": "2019-03-13T17:21:46.057489Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.DataArray (volc: 52, month: 120)>\n",
       "array([[ 0.023815,  0.036668,  0.009407, ..., -0.054083,  0.059321,  0.031571],\n",
       "       [ 0.139679,  0.046735,  0.069292, ...,  0.040874, -0.07957 ,  0.028697],\n",
       "       [ 0.025049, -0.015336, -0.06604 , ..., -0.383306, -0.292772, -0.205277],\n",
       "       ...,\n",
       "       [-0.217121, -0.103336, -0.037636, ...,  0.030562, -0.039073, -0.152739],\n",
       "       [-0.062162, -0.024089,  0.011736, ...,  0.080594, -0.096463, -0.047383],\n",
       "       [-0.136243, -0.066272, -0.078565, ..., -0.153841, -0.128289, -0.202186]])\n",
       "Coordinates:\n",
       "  * volc     (volc) object 0870-04-01 00:00:00 ... 1991-06-01 00:00:00\n",
       "  * month    (month) int32 -60 -59 -58 -57 -56 -55 -54 ... 53 54 55 56 57 58 59"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ts = ds.ts_a.mean('ien').geo.fldmean()\n",
    "ts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-13T20:57:28.961638Z",
     "start_time": "2019-03-13T20:57:28.888193Z"
    }
   },
   "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 = \"pdf\";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=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ts.sel(volc=volcs).plot.line(x='month',\n",
    "                             color='gray', lw=1, add_legend=False)\n",
    "ts.sel(volc=volcs).mean('volc').plot()\n",
    "plt.ylabel('K')\n",
    "\n",
    "plt.grid(True)\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 180,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-13T20:51:10.084606Z",
     "start_time": "2019-03-13T20:51:09.968803Z"
    },
    "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 = \"pdf\";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=\"800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ts_ = ts.sel(volc=volcs) \\\n",
    "    .sel(month=slice(6,24)).mean('month') \n",
    "ts_.assign_coords(volc=range(0,len(volcs))) \\\n",
    "    .plot.step(figsize=(8,4), xticks=range(0, len(volcs),2), where='mid')\n",
    "plt.grid('on')\n",
    "plt.ylabel('Global <Ts> over month 6-24 [K]')\n",
    "\n",
    "for i in range(ts_.size):\n",
    "    tsi = ts_[i]\n",
    "    year, month = tsi.volc.dt.year.item(), tsi.volc.dt.month.item()\n",
    "    plt.text(i, -1, f' {year}-{month:02d}', \n",
    "             color='gray', va='center', ha='center', rotation=-90)\n",
    "    \n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-13T20:41:13.560638Z",
     "start_time": "2019-03-13T20:41:13.532708Z"
    }
   },
   "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 = \"pdf\";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=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x2ac0df763668>]"
      ]
     },
     "execution_count": 168,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ts.sel(volc='1328').plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 184,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-13T20:55:43.263562Z",
     "start_time": "2019-03-13T20:55:43.255750Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.DataArray (volc: 30, month: 120)>\n",
       "array([[ 0.023815,  0.036668,  0.009407, ..., -0.054083,  0.059321,  0.031571],\n",
       "       [ 0.139679,  0.046735,  0.069292, ...,  0.040874, -0.07957 ,  0.028697],\n",
       "       [-0.036634, -0.074979, -0.030528, ..., -0.063276,  0.056783,  0.122297],\n",
       "       ...,\n",
       "       [-0.217121, -0.103336, -0.037636, ...,  0.030562, -0.039073, -0.152739],\n",
       "       [-0.062162, -0.024089,  0.011736, ...,  0.080594, -0.096463, -0.047383],\n",
       "       [-0.136243, -0.066272, -0.078565, ..., -0.153841, -0.128289, -0.202186]])\n",
       "Coordinates:\n",
       "  * volc     (volc) object 0870-04-01 00:00:00 ... 1991-06-01 00:00:00\n",
       "  * month    (month) int32 -60 -59 -58 -57 -56 -55 -54 ... 53 54 55 56 57 58 59"
      ]
     },
     "execution_count": 184,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ts.sel(volc=volcs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-03-12T20:14:32.030675Z",
     "start_time": "2019-03-12T20:14:32.027197Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<script src=\"https://cdn.rawgit.com/parente/4c3e6936d0d7a46fd071/raw/65b816fb9bdd3c28b4ddf3af602bfd6015486383/code_toggle.js\">\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%%html\n",
    "<script src=\"https://cdn.rawgit.com/parente/4c3e6936d0d7a46fd071/raw/65b816fb9bdd3c28b4ddf3af602bfd6015486383/code_toggle.js\">\n",
    "</script>"
   ]
  }
 ],
 "metadata": {
  "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": "3.7.1"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": true,
   "toc_window_display": true
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}