{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Lab Notes\n",
    "\n",
    "* Wenchang Yang (wenchang@princeton.edu)\n",
    "* Department of Geosciences, Princeton University"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-02-28T19:49:24.843386Z",
     "start_time": "2019-02-28T19:49:24.026682Z"
    }
   },
   "outputs": [],
   "source": [
    "%matplotlib notebook\n",
    "\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "plt.rcParams['hatch.color']='g'\n",
    "import xarray as xr\n",
    "import pandas as pd\n",
    "\n",
    "import geoxarray\n",
    "from geoplots import mapplot\n",
    "\n",
    "from itertools import product\n",
    "from cftime import DatetimeJulian\n",
    "import xarray as xr\n",
    "import cmocean"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-02-28T20:32:15.432709Z",
     "start_time": "2019-02-28T20:32:15.429345Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(0, 0)\n",
      "(1, 1)\n",
      "(2, 2)\n",
      "(3, 3)\n",
      "(4, 4)\n",
      "(5, 5)\n",
      "(6, 6)\n",
      "(7, 7)\n",
      "(8, 8)\n",
      "(9, 9)\n"
     ]
    }
   ],
   "source": [
    "a = np.arange(10)\n",
    "b = np.arange(10)\n",
    "for i in zip(a,b):\n",
    "    print(i)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2018-10-02"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-10-02T20:42:08.663638Z",
     "start_time": "2018-10-02T20:42:01.833523Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:    (latitude: 400, longitude: 1440, time: 13757)\n",
       "Coordinates:\n",
       "  * latitude   (latitude) float32 -49.875 -49.625 -49.375 -49.125 -48.875 ...\n",
       "  * longitude  (longitude) float32 -179.875 -179.625 -179.375 -179.125 ...\n",
       "  * time       (time) datetime64[ns] 1981-01-01 1981-01-02 1981-01-03 ...\n",
       "Data variables:\n",
       "    precip     (time, latitude, longitude) float32 dask.array<shape=(13757, 400, 1440), chunksize=(365, 400, 1440)>\n",
       "Attributes:\n",
       "    Conventions:       CF-1.6\n",
       "    title:             CHIRPS Version 2.0\n",
       "    history:           created by Climate Hazards Group\n",
       "    version:           Version 2.0\n",
       "    date_created:      2015-10-07\n",
       "    creator_name:      Pete Peterson\n",
       "    creator_email:     pete@geog.ucsb.edu\n",
       "    institution:       Climate Hazards Group.  University of California at Sa...\n",
       "    documentation:     http://pubs.usgs.gov/ds/832/\n",
       "    reference:         Funk, C.C., Peterson, P.J., Landsfeld, M.F., Pedreros,...\n",
       "    comments:           time variable denotes the first day of the given day.\n",
       "    acknowledgements:  The Climate Hazards Group InfraRed Precipitation with ...\n",
       "    ftp_url:           ftp://chg-ftpout.geog.ucsb.edu/pub/org/chg/products/CH...\n",
       "    website:           http://chg.geog.ucsb.edu/data/chirps/index.html\n",
       "    faq:               http://chg-wiki.geog.ucsb.edu/wiki/CHIRPS_FAQ"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ncfiles = '/tigress/wenchang/data/chirps/daily/p25/*.nc'\n",
    "ds = xr.open_mfdataset(ncfiles)\n",
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-10-02T20:44:10.595103Z",
     "start_time": "2018-10-02T20:44:09.994855Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.DataArray 'precip' (time: 37, latitude: 400, longitude: 1440)>\n",
       "dask.array<shape=(37, 400, 1440), dtype=float32, chunksize=(1, 400, 1440)>\n",
       "Coordinates:\n",
       "  * time       (time) datetime64[ns] 1981-01-01 1982-01-01 1983-01-01 ...\n",
       "  * latitude   (latitude) float32 -49.875 -49.625 -49.375 -49.125 -48.875 ...\n",
       "  * longitude  (longitude) float32 -179.875 -179.625 -179.375 -179.125 ..."
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "da = ds.precip.sel(time=slice('1981', '2017')).resample(time='AS').mean('time')\n",
    "pr = da\n",
    "da"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-10-02T21:05:31.994894Z",
     "start_time": "2018-10-02T20:55:22.446865Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tigress/wenchang/miniconda3/lib/python3.6/site-packages/dask/array/numpy_compat.py:28: RuntimeWarning: divide by zero encountered in true_divide\n",
      "  x = np.divide(x1, x2, out)\n",
      "/tigress/wenchang/miniconda3/lib/python3.6/site-packages/dask/array/numpy_compat.py:28: RuntimeWarning: invalid value encountered in true_divide\n",
      "  x = np.divide(x1, x2, out)\n"
     ]
    },
    {
     "ename": "ValueError",
     "evalue": "operands could not be broadcast together with shapes (31, 157321) (31, nan)",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-6-33efeb31086d>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0mtslice\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mslice\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'1981'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'2011'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      4\u001b[0m \u001b[0mda\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mtime\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtslice\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 5\u001b[0;31m \u001b[0mm\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mda\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlearn\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mregress\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mda\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0myear\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      6\u001b[0m \u001b[0mm\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m//home/wenchang/wython/xlearn/accessor.py\u001b[0m in \u001b[0;36mregress\u001b[0;34m(self, da_x, *args, **kw)\u001b[0m\n\u001b[1;32m     19\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mregress\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mda_x\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkw\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     20\u001b[0m         \u001b[0;34m'''See xlearn.linear_model.LinearRegression.fit for description'''\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 21\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mlinear_model\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mLinearRegression\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkw\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mda_x\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_obj\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     22\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     23\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mpca\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkw\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m//home/wenchang/wython/xlearn/linear_model.py\u001b[0m in \u001b[0;36mfit\u001b[0;34m(self, da_X, da_Y)\u001b[0m\n\u001b[1;32m    122\u001b[0m         \u001b[0;31m# add-on estimate: p_value\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    123\u001b[0m         \u001b[0mp\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mempty\u001b[0m\u001b[0;34m(\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mn_grids\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mn_features\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m)\u001b[0m \u001b[0;34m*\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnan\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 124\u001b[0;31m         \u001b[0msse\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msum\u001b[0m\u001b[0;34m(\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpredict\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mX\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0mY\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m \u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mnewaxis\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    125\u001b[0m         \u001b[0mdof\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mn_samples\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0mn_features\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    126\u001b[0m         \u001b[0mXa\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mX\u001b[0m \u001b[0;34m-\u001b[0m \u001b[0mX\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmean\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkeepdims\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/tigress/wenchang/miniconda3/lib/python3.6/site-packages/dask/array/core.py\u001b[0m in \u001b[0;36m__array_ufunc__\u001b[0;34m(self, numpy_ufunc, method, *inputs, **kwargs)\u001b[0m\n\u001b[1;32m   1199\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mda_ufunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0minputs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1200\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1201\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0melemwise\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnumpy_ufunc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0minputs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   1202\u001b[0m         \u001b[0;32melif\u001b[0m \u001b[0mmethod\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'outer'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   1203\u001b[0m             \u001b[0;32mfrom\u001b[0m \u001b[0;34m.\u001b[0m \u001b[0;32mimport\u001b[0m \u001b[0mufunc\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/tigress/wenchang/miniconda3/lib/python3.6/site-packages/dask/array/core.py\u001b[0m in \u001b[0;36melemwise\u001b[0;34m(op, *args, **kwargs)\u001b[0m\n\u001b[1;32m   3430\u001b[0m     \u001b[0mshapes\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0mgetattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marg\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'shape'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0marg\u001b[0m \u001b[0;32min\u001b[0m \u001b[0margs\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3431\u001b[0m     \u001b[0mshapes\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0ms\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ms\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mIterable\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0ms\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mshapes\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3432\u001b[0;31m     \u001b[0mout_ndim\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbroadcast_shapes\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0mshapes\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m   \u001b[0;31m# Raises ValueError if dimensions mismatch\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   3433\u001b[0m     \u001b[0mexpr_inds\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mtuple\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mout_ndim\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3434\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/tigress/wenchang/miniconda3/lib/python3.6/site-packages/dask/array/core.py\u001b[0m in \u001b[0;36mbroadcast_shapes\u001b[0;34m(*shapes)\u001b[0m\n\u001b[1;32m   3402\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0many\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mi\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32min\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m-\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdim\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0misnan\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[0;32min\u001b[0m \u001b[0msizes\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3403\u001b[0m             raise ValueError(\"operands could not be broadcast together with \"\n\u001b[0;32m-> 3404\u001b[0;31m                              \"shapes {0}\".format(' '.join(map(str, shapes))))\n\u001b[0m\u001b[1;32m   3405\u001b[0m         \u001b[0mout\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdim\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   3406\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0mtuple\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mreversed\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mout\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mValueError\u001b[0m: operands could not be broadcast together with shapes (31, 157321) (31, nan)"
     ]
    }
   ],
   "source": [
    "import xlearn\n",
    "\n",
    "tslice = slice('1981', '2011')\n",
    "da = pr.sel(time=tslice)\n",
    "m = da.learn.regress(da.time.dt.year)\n",
    "m"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2018-08-28"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 181,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-28T18:35:33.488999Z",
     "start_time": "2018-08-28T18:35:32.990368Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.DataArray 't2m' (time: 13880, lat: 91, lon: 180)>\n",
       "dask.array<shape=(13880, 91, 180), dtype=float32, chunksize=(365, 91, 180)>\n",
       "Coordinates:\n",
       "  * lon      (lon) float32 0.0 2.0 4.0 6.0 8.0 10.0 12.0 14.0 16.0 18.0 20.0 ...\n",
       "  * lat      (lat) float32 90.0 88.0 86.0 84.0 82.0 80.0 78.0 76.0 74.0 72.0 ...\n",
       "  * time     (time) datetime64[ns] 1979-01-01T12:00:00 1979-01-02T12:00:00 ...\n",
       "Attributes:\n",
       "    long_name:  2 metre temperature\n",
       "    units:      K"
      ]
     },
     "execution_count": 181,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ncfiles = '/tigress/wenchang/data/engey/erai/daily/tas/tas.daily.*.nc'\n",
    "ds = xr.open_mfdataset(ncfiles)\n",
    "da = ds.t2m\n",
    "da"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-28T18:42:56.997870Z",
     "start_time": "2018-08-28T18:42:49.108370Z"
    }
   },
   "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 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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 0x2b41dd6b2da0>]"
      ]
     },
     "execution_count": 187,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lon, lat = 29.7003, -0.748889\n",
    "da.sel(lon=lon, lat=lat, method='nearest').groupby('time.dayofyear').mean('time').pipe(lambda x: x-273.15).plot()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 188,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-28T18:43:19.633316Z",
     "start_time": "2018-08-28T18:43:12.001539Z"
    }
   },
   "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": {
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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 0x2b44b7eb65f8>]"
      ]
     },
     "execution_count": 188,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lat, lon = 29.7003, -0.748889\n",
    "da.sel(lon=lon, lat=lat, method='nearest').groupby('time.dayofyear').mean('time').pipe(lambda x: x-273.15).plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Month of peak rainfall"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-29T15:23:59.349702Z",
     "start_time": "2018-08-29T15:23:55.160864Z"
    }
   },
   "outputs": [],
   "source": [
    "ncfile = '/tigress/wenchang/data/gpcc/precip.mon.total.v7.nc'\n",
    "ds = xr.open_dataset(ncfile)\n",
    "da = ds.precip\n",
    "\n",
    "da = da.sel(time=slice('1981', '2010')).groupby('time.month').mean('time')\n",
    "\n",
    "msk = da.mean('month')*0\n",
    "# msk.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-29T15:24:02.970805Z",
     "start_time": "2018-08-29T15:24:02.703028Z"
    },
    "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": {
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\" width=\"900\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 1, figsize=(9,6))\n",
    "da.fillna(0).argmax('month').pipe(lambda x: da.month[x]+msk).rename('month of peak rainfall') \\\n",
    "    .plot(ax=ax, levels=np.arange(-.5,12.6), cmap=cmocean.cm.phase, cbar_kwargs={'ticks': range(1,13)})\n",
    "ax.set_xlim(190,310)\n",
    "ax.set_ylim(5, 85)\n",
    "ax.set_title('Data source: GPCC 1981-2010')\n",
    "\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Global"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-29T15:38:38.674614Z",
     "start_time": "2018-08-29T15:38:38.492906Z"
    },
    "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>"
      ]
     },
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     "output_type": "display_data"
    },
    {
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\" width=\"900\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 1, figsize=(9,6))\n",
    "da.fillna(0).argmax('month').pipe(lambda x: da.month[x]+msk).rename('month of peak rainfall') \\\n",
    "    .plot(ax=ax, levels=np.arange(-.5, 12.5, 3), cmap=cmocean.cm.phase, \n",
    "          cbar_kwargs={'ticks': range(1,13)})\n",
    "# ax.set_xlim(190,310)\n",
    "# ax.set_ylim(5, 85)\n",
    "ax.set_title('Data source: GPCC 1981-2010')\n",
    "\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "CHIRPS data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-28T20:36:04.849657Z",
     "start_time": "2018-08-28T20:32:24.206879Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.QuadMesh at 0x2b93cccd4cc0>"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ncfile = '/tigress/wenchang/data/chirps/chirps-v2.0.monthly.nc'\n",
    "ds = xr.open_dataset(ncfile)\n",
    "da = ds.precip.load()\n",
    "\n",
    "da = da.sel(time=slice('1981', '2010')).groupby('time.month').mean('time')\n",
    "\n",
    "msk = da.mean('month')*0\n",
    "msk.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2018-08-28T20:37:57.224335Z",
     "start_time": "2018-08-28T20:37:55.560579Z"
    },
    "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"
    },
    {
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\" width=\"900\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 1, figsize=(9,6))\n",
    "da.fillna(0).argmax('month').pipe(lambda x: da.month[x]+msk).rename('month of peak rainfall') \\\n",
    "    .plot(ax=ax, levels=np.arange(-.5,12.6), cmap=cmocean.cm.phase, cbar_kwargs={'ticks': range(1,13)})\n",
    "ax.set_xlim(190-360,310-360)\n",
    "ax.set_ylim(5, None)\n",
    "ax.set_title('Data source: CHIRPS 1981-2010')\n",
    "\n",
    "plt.tight_layout()"
   ]
  }
 ],
 "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": "3.7.2"
  },
  "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
}