An example of wind data analysis.ipynb

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  {
   "cell_type": "code",
   "execution_count": 1,
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   "source": [
    "# load essential libraries\n",
    "import numpy as np \n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# load wind data\n",
    "url = 'https://raw.githubusercontent.com/yangsbin/Meteo_data_analysis/master/data/wind_data.txt'\n",
    "wind_data = pd.read_csv(url, sep = r'\\s+', \n",
    "                        header = None, names = ['Year','Month','Day','Hour', 'WD','WS'])\n",
    "wind_data.WS = wind_data.WS/10.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Year</th>\n",
       "      <th>Month</th>\n",
       "      <th>Day</th>\n",
       "      <th>Hour</th>\n",
       "      <th>WD</th>\n",
       "      <th>WS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2012</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>209</td>\n",
       "      <td>1.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2012</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>26</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2012</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>3.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2012</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>301</td>\n",
       "      <td>2.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2012</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>256</td>\n",
       "      <td>2.4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Year  Month  Day  Hour   WD   WS\n",
       "0  2012      1    1     0  209  1.4\n",
       "1  2012      1    1     1   26  1.5\n",
       "2  2012      1    1     2    7  3.2\n",
       "3  2012      1    1     3  301  2.3\n",
       "4  2012      1    1     4  256  2.4"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# have a short view of the data\n",
    "wind_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# how to deal with the date (Year-Month-Day) and time (Hour)\n",
    "from datetime import datetime\n",
    "\n",
    "datetimes = []\n",
    "year_v = wind_data['Year'].values\n",
    "month_v = wind_data['Month'].values\n",
    "day_v = wind_data['Day'].values\n",
    "hour_v = wind_data['Hour'].values\n",
    "\n",
    "for i in range(0, len(year_v)):\n",
    "    datetimes.append(datetime(year_v[i], month_v[i], day_v[i], hour_v[i]))\n",
    "\n",
    "#wind_data['Datetime'] = pd.Series(datetimes)\n",
    "wind_data.index = pd.Series(datetimes)\n",
    "wind_data.index.name = 'Datetime'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Year</th>\n",
       "      <th>Month</th>\n",
       "      <th>Day</th>\n",
       "      <th>Hour</th>\n",
       "      <th>WD</th>\n",
       "      <th>WS</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Datetime</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "    <tr>\n",
       "      <th>2012-01-01 00:00:00</th>\n",
       "      <td>2012</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>209</td>\n",
       "      <td>1.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-01-01 01:00:00</th>\n",
       "      <td>2012</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>26</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-01-01 02:00:00</th>\n",
       "      <td>2012</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>3.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-01-01 03:00:00</th>\n",
       "      <td>2012</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>301</td>\n",
       "      <td>2.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2012-01-01 04:00:00</th>\n",
       "      <td>2012</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>256</td>\n",
       "      <td>2.4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Year  Month  Day  Hour   WD   WS\n",
       "Datetime                                             \n",
       "2012-01-01 00:00:00  2012      1    1     0  209  1.4\n",
       "2012-01-01 01:00:00  2012      1    1     1   26  1.5\n",
       "2012-01-01 02:00:00  2012      1    1     2    7  3.2\n",
       "2012-01-01 03:00:00  2012      1    1     3  301  2.3\n",
       "2012-01-01 04:00:00  2012      1    1     4  256  2.4"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# have a short view of the data again\n",
    "wind_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# statistical description by groups"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th colspan=\"8\" halign=\"left\">WD</th>\n",
       "      <th colspan=\"8\" halign=\"left\">WS</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>Year</th>\n",
       "      <th>Month</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">2012</th>\n",
       "      <th>1</th>\n",
       "      <td>744.0</td>\n",
       "      <td>111.358871</td>\n",
       "      <td>103.762691</td>\n",
       "      <td>2.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>82.5</td>\n",
       "      <td>183.25</td>\n",
       "      <td>359.0</td>\n",
       "      <td>744.0</td>\n",
       "      <td>3.315323</td>\n",
       "      <td>1.316775</td>\n",
       "      <td>0.8</td>\n",
       "      <td>2.4</td>\n",
       "      <td>3.1</td>\n",
       "      <td>4.100</td>\n",
       "      <td>8.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>696.0</td>\n",
       "      <td>121.943966</td>\n",
       "      <td>105.146016</td>\n",
       "      <td>2.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>189.00</td>\n",
       "      <td>359.0</td>\n",
       "      <td>696.0</td>\n",
       "      <td>3.534052</td>\n",
       "      <td>1.406727</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3.4</td>\n",
       "      <td>4.325</td>\n",
       "      <td>9.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>744.0</td>\n",
       "      <td>135.930108</td>\n",
       "      <td>99.242965</td>\n",
       "      <td>2.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>127.0</td>\n",
       "      <td>198.00</td>\n",
       "      <td>359.0</td>\n",
       "      <td>744.0</td>\n",
       "      <td>3.610618</td>\n",
       "      <td>1.481199</td>\n",
       "      <td>0.7</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3.4</td>\n",
       "      <td>4.400</td>\n",
       "      <td>10.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>720.0</td>\n",
       "      <td>753.416667</td>\n",
       "      <td>4344.856938</td>\n",
       "      <td>4.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>192.0</td>\n",
       "      <td>215.00</td>\n",
       "      <td>32766.0</td>\n",
       "      <td>720.0</td>\n",
       "      <td>63.524028</td>\n",
       "      <td>436.003672</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.425</td>\n",
       "      <td>3276.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>744.0</td>\n",
       "      <td>160.475806</td>\n",
       "      <td>89.387504</td>\n",
       "      <td>2.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>178.0</td>\n",
       "      <td>211.00</td>\n",
       "      <td>359.0</td>\n",
       "      <td>744.0</td>\n",
       "      <td>3.577016</td>\n",
       "      <td>1.389393</td>\n",
       "      <td>0.8</td>\n",
       "      <td>2.6</td>\n",
       "      <td>3.5</td>\n",
       "      <td>4.400</td>\n",
       "      <td>10.1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               WD                                                              \\\n",
       "            count        mean          std  min   25%    50%     75%      max   \n",
       "Year Month                                                                      \n",
       "2012 1      744.0  111.358871   103.762691  2.0  24.0   82.5  183.25    359.0   \n",
       "     2      696.0  121.943966   105.146016  2.0  26.0   94.0  189.00    359.0   \n",
       "     3      744.0  135.930108    99.242965  2.0  46.0  127.0  198.00    359.0   \n",
       "     4      720.0  753.416667  4344.856938  4.0  96.0  192.0  215.00  32766.0   \n",
       "     5      744.0  160.475806    89.387504  2.0  91.0  178.0  211.00    359.0   \n",
       "\n",
       "               WS                                                       \n",
       "            count       mean         std  min  25%  50%    75%     max  \n",
       "Year Month                                                              \n",
       "2012 1      744.0   3.315323    1.316775  0.8  2.4  3.1  4.100     8.7  \n",
       "     2      696.0   3.534052    1.406727  1.0  2.5  3.4  4.325     9.9  \n",
       "     3      744.0   3.610618    1.481199  0.7  2.5  3.4  4.400    10.4  \n",
       "     4      720.0  63.524028  436.003672  0.0  3.1  4.0  5.425  3276.6  \n",
       "     5      744.0   3.577016    1.389393  0.8  2.6  3.5  4.400    10.1  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wind_data[['Year','Month','WD', 'WS']].groupby(['Year', 'Month']).describe().head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot values to check if there are outliers\n",
    "fg = plt.figure()\n",
    "plt.subplot(121)\n",
    "plt.plot(wind_data.WD)\n",
    "plt.ylabel('Values')\n",
    "plt.title('WD')\n",
    "\n",
    "plt.subplot(122)\n",
    "plt.plot(wind_data.WS)\n",
    "plt.ylabel('Values')\n",
    "plt.title('WS')\n",
    "\n",
    "# adjust the layout of subplots\n",
    "plt.subplots_adjust(top=0.92, bottom=0.41, left=0.10, right=0.95, hspace=0.25, wspace=0.55)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "17544 rows of data were removed\n"
     ]
    }
   ],
   "source": [
    "# remove outliers\n",
    "# 1) WD > 360 are outliers\n",
    "# 2) WS > 10000 are outliers\n",
    "outlier_index = np.logical_or(wind_data['WD'] > 360, wind_data['WS'] > 1000)\n",
    "wind_data = wind_data.loc[~outlier_index, :]\n",
    "print(\"{0} rows of data were removed\".format(len(outlier_index)) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr:last-of-type th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th colspan=\"8\" halign=\"left\">WD</th>\n",
       "      <th colspan=\"8\" halign=\"left\">WS</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Year</th>\n",
       "      <th>Month</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">2012</th>\n",
       "      <th>1</th>\n",
       "      <td>744.0</td>\n",
       "      <td>111.358871</td>\n",
       "      <td>103.762691</td>\n",
       "      <td>2.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>82.5</td>\n",
       "      <td>183.25</td>\n",
       "      <td>359.0</td>\n",
       "      <td>744.0</td>\n",
       "      <td>3.315323</td>\n",
       "      <td>1.316775</td>\n",
       "      <td>0.8</td>\n",
       "      <td>2.4</td>\n",
       "      <td>3.1</td>\n",
       "      <td>4.100</td>\n",
       "      <td>8.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>696.0</td>\n",
       "      <td>121.943966</td>\n",
       "      <td>105.146016</td>\n",
       "      <td>2.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>189.00</td>\n",
       "      <td>359.0</td>\n",
       "      <td>696.0</td>\n",
       "      <td>3.534052</td>\n",
       "      <td>1.406727</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3.4</td>\n",
       "      <td>4.325</td>\n",
       "      <td>9.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>744.0</td>\n",
       "      <td>135.930108</td>\n",
       "      <td>99.242965</td>\n",
       "      <td>2.0</td>\n",
       "      <td>46.0</td>\n",
       "      <td>127.0</td>\n",
       "      <td>198.00</td>\n",
       "      <td>359.0</td>\n",
       "      <td>744.0</td>\n",
       "      <td>3.610618</td>\n",
       "      <td>1.481199</td>\n",
       "      <td>0.7</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3.4</td>\n",
       "      <td>4.400</td>\n",
       "      <td>10.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>707.0</td>\n",
       "      <td>164.783593</td>\n",
       "      <td>89.743732</td>\n",
       "      <td>4.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>189.0</td>\n",
       "      <td>214.00</td>\n",
       "      <td>359.0</td>\n",
       "      <td>707.0</td>\n",
       "      <td>4.443423</td>\n",
       "      <td>2.190107</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.400</td>\n",
       "      <td>16.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>744.0</td>\n",
       "      <td>160.475806</td>\n",
       "      <td>89.387504</td>\n",
       "      <td>2.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>178.0</td>\n",
       "      <td>211.00</td>\n",
       "      <td>359.0</td>\n",
       "      <td>744.0</td>\n",
       "      <td>3.577016</td>\n",
       "      <td>1.389393</td>\n",
       "      <td>0.8</td>\n",
       "      <td>2.6</td>\n",
       "      <td>3.5</td>\n",
       "      <td>4.400</td>\n",
       "      <td>10.1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               WD                                                           \\\n",
       "            count        mean         std  min   25%    50%     75%    max   \n",
       "Year Month                                                                   \n",
       "2012 1      744.0  111.358871  103.762691  2.0  24.0   82.5  183.25  359.0   \n",
       "     2      696.0  121.943966  105.146016  2.0  26.0   94.0  189.00  359.0   \n",
       "     3      744.0  135.930108   99.242965  2.0  46.0  127.0  198.00  359.0   \n",
       "     4      707.0  164.783593   89.743732  4.0  95.0  189.0  214.00  359.0   \n",
       "     5      744.0  160.475806   89.387504  2.0  91.0  178.0  211.00  359.0   \n",
       "\n",
       "               WS                                                  \n",
       "            count      mean       std  min  25%  50%    75%   max  \n",
       "Year Month                                                         \n",
       "2012 1      744.0  3.315323  1.316775  0.8  2.4  3.1  4.100   8.7  \n",
       "     2      696.0  3.534052  1.406727  1.0  2.5  3.4  4.325   9.9  \n",
       "     3      744.0  3.610618  1.481199  0.7  2.5  3.4  4.400  10.4  \n",
       "     4      707.0  4.443423  2.190107  0.0  3.0  4.0  5.400  16.5  \n",
       "     5      744.0  3.577016  1.389393  0.8  2.6  3.5  4.400  10.1  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wind_data[['Year','Month','WD', 'WS']].groupby(['Year', 'Month']).describe().head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot values to check if there are outliers\n",
    "fg = plt.figure()\n",
    "\n",
    "plt.subplot(121)\n",
    "plt.plot(wind_data['WD'], linewidth=0.2)\n",
    "plt.ylabel('Values')\n",
    "plt.title('WD')\n",
    "\n",
    "plt.subplot(122)\n",
    "plt.plot(wind_data['WS'])\n",
    "plt.ylabel('Values')\n",
    "plt.title('WS')\n",
    "\n",
    "plt.subplots_adjust(top=0.92, bottom=0.41, left=0.10, right=0.95, hspace=0.25, wspace=0.55)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# If I want to see wind direction and wind speed statistics of a specific year\n",
    "# for example, the data in 2012\n",
    "wind_2012 = wind_data.loc[wind_data['Year']==2012, ['Month','Day','Hour', 'WD','WS']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot boxplots of wind direction and wind speed in different months\n",
    "fg = plt.figure()\n",
    "plt.subplot(121)\n",
    "wd_2012 = wind_data[['Month','WD']]\n",
    "sns.boxplot(x = 'WD', y = 'Month', data = wd_2012, orient = 'h', fliersize=0.5, linewidth = 0.7)\n",
    "\n",
    "plt.subplot(122)\n",
    "ws_2012 = wind_data[['Month','WS']]\n",
    "ax = sns.boxplot(x = 'WS', y = 'Month', data = ws_2012, orient = 'h', fliersize=0.5, linewidth = 0.7)\n",
    "ax.set_xlabel('WS (m/s)')\n",
    "\n",
    "plt.subplots_adjust(top=0.92, bottom=0.21, left=0.10, right=1.0, hspace=0.25, wspace=0.45)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# distribution plot of wind direction and wind speed\n",
    "fg = plt.figure()\n",
    "plt.subplot(121)\n",
    "ax = sns.distplot(wind_2012.WD)\n",
    "plt.ylabel('Probability')\n",
    "plt.grid()\n",
    "\n",
    "plt.subplot(122)\n",
    "ax = sns.distplot(wind_2012.WS)\n",
    "plt.ylabel('Probability')\n",
    "plt.xlabel('WS (m/s)')\n",
    "plt.grid()\n",
    "\n",
    "plt.subplots_adjust(top=0.92, bottom=0.21, left=0.10, right=1.0, hspace=0.25, wspace=0.45)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Check the distribution of the wind direction in January and the wind direction in July\n",
    "fg = plt.figure()\n",
    "\n",
    "wd_Jan = wind_2012.loc[wind_2012['Month'] == 1, ['Month','WD']]\n",
    "wd_Jul = wind_2012.loc[wind_2012['Month'] == 7, ['Month','WD']]\n",
    "plt.subplot(121)\n",
    "sns.distplot(wd_Jan.WD)\n",
    "sns.distplot(wd_Jul.WD)\n",
    "plt.ylabel('Probability')\n",
    "plt.grid()\n",
    "plt.legend(['Jan','Jul'], frameon = False)\n",
    "\n",
    "ws_Jan = wind_2012.loc[wind_2012['Month'] == 1, ['Month','WS']]\n",
    "ws_Jul = wind_2012.loc[wind_2012['Month'] == 7, ['Month','WS']]\n",
    "plt.subplot(122)\n",
    "sns.distplot(ws_Jan.WS)\n",
    "sns.distplot(ws_Jul.WS)\n",
    "plt.ylabel('Probability')\n",
    "plt.xlabel('WS (m/s)')\n",
    "plt.grid()\n",
    "plt.legend(['Jan','Jul'], frameon = False)\n",
    "\n",
    "plt.subplots_adjust(top=0.92, bottom=0.21, left=0.10, right=1.0, hspace=0.25, wspace=0.45)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# plot wind rose figure\n",
    "from windrose import WindroseAxes\n",
    "import matplotlib.cm as cm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1a22e77780>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x640 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# please refer to the manual of the windrose library\n",
    "# plot wind rose in stacked bar style\n",
    "ax = WindroseAxes.from_ax()\n",
    "ax.bar(wd_Jan.WD, ws_Jan.WS, normed=True, opening=0.8, edgecolor='black')\n",
    "ax.set_legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x1a22b325c0>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x640 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot wind rose in another style\n",
    "ax = WindroseAxes.from_ax()\n",
    "ax.contourf(wd_Jan.WD, ws_Jan.WS, bins=np.arange(0,9,1), cmap=cm.hot)\n",
    "ax.contour(wd_Jan.WD, ws_Jan.WS, bins=np.arange(0,9,1), colors = 'black', lw=1)\n",
    "ax.set_title('January')\n",
    "ax.set_legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.05, 'July')"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x640 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot windrose with plot_windrose method\n",
    "from windrose import plot_windrose\n",
    "df = pd.DataFrame({'speed':ws_Jul.WS.values, 'direction':wd_Jul.WD.values})\n",
    "ax = plot_windrose(df, kind = 'contour', bins=np.arange(0, 9, 1), cmap=cm.jet, lw=1)\n",
    "ax.set_title('July')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot windrose subplots\n",
    "fg = plt.figure()\n",
    "ax1 = fg.add_subplot(1,2,1, projection='windrose')\n",
    "ax1.bar(wd_Jan.WD, ws_Jan.WS, normed=True, opening=0.8, edgecolor='white')\n",
    "ax1.set_title('January', pad = 20)\n",
    "\n",
    "ax2 = fg.add_subplot(1,2,2, projection='windrose')\n",
    "ax2.bar(wd_Jul.WD, ws_Jul.WS, normed=True, opening=0.8, edgecolor='white')\n",
    "ax2.set_title('July', pad = 20)\n",
    "\n",
    "plt.subplots_adjust(top=1, bottom=0, left=0.0, right=1.0, hspace=0.25, wspace=0.45)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot windrose subplots\n",
    "fg = plt.figure()\n",
    "ax_Jan = fg.add_subplot(1,2,1, projection='windrose')\n",
    "ax_Jan.contourf(wd_Jan.WD, ws_Jan.WS, bins = np.arange(0,9,1.5), cmap = cm.hot)\n",
    "ax_Jan.contour(wd_Jan.WD, ws_Jan.WS, bins = np.arange(0,9,1.5), colors = 'black', lw = 0.5)\n",
    "ax_Jan.set_title('January', pad = 20)\n",
    "\n",
    "ax_Jul = fg.add_subplot(1,2,2, projection = 'windrose')\n",
    "ax_Jul.contour(wd_Jul.WD, ws_Jul.WS, bins = np.arange(0,9,1.5), colors = 'black', lw = 0.5)\n",
    "ax_Jul.set_title('July', pad = 20)\n",
    "\n",
    "plt.subplots_adjust(top=1, bottom=0, left=0.0, right=1.0, hspace=0.25, wspace=0.45)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# bar plot of frequencies\n",
    "ax_Jan.bar(wd_Jan.WD, ws_Jan.WS, normed=True, nsector=16)\n",
    "table_Jan = ax_Jan._info['table']\n",
    "wd_freq_Jan = np.sum(table_Jan, axis=0)\n",
    "\n",
    "direction_Jan = ax_Jan._info['dir']\n",
    "plt.figure(figsize=(10,4))\n",
    "plt.bar(np.arange(16), wd_freq_Jan, align='center', facecolor = 'green')\n",
    "plt.xticks(np.arange(16))\n",
    "xlabels = ['N','NNE','NE','ENE','E','ESE','SE','SSE','S','SSW','SW','WSW','W','WNW','NW','NNW']\n",
    "_ = plt.gca().set_xticklabels(xlabels)\n",
    "_ = plt.text(x = 14, y = 17.5, s = 'January')\n",
    "_ = plt.ylabel('Frequency (%)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1, 2.6614301902227524, 0, 3.734483068109758)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x640 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# fit wind speed distribution using Weibull probability distribution\n",
    "from windrose import WindAxes\n",
    "ax = WindAxes.from_ax()\n",
    "bins = np.arange(0, 9+1, 0.5)\n",
    "bins = bins[1:]\n",
    "ax, params = ax.pdf(ws_Jan.WS, bins = bins)\n",
    "ax.set_xlabel('WS (m/s)')\n",
    "ax.set_ylabel('Probability')\n",
    "\n",
    "# print parameters of fitted Weibull probability distribution\n",
    "print(params)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# comparion of wind speed distributions between January and July\n",
    "from scipy import stats\n",
    "\n",
    "fg = plt.figure()\n",
    "\n",
    "plt.subplot(121)\n",
    "shape, loc, scale = stats.weibull_min.fit(ws_Jan.WS, floc=0)\n",
    "x = np.arange(0, 10, 0.01)\n",
    "sns.lineplot(x, stats.weibull_min.pdf(x, c = shape, scale = scale, loc = loc))\n",
    "sns.distplot(ws_Jan.WS, bins = 30, fit = stats.weibull_min, kde = False, hist = True)\n",
    "plt.xlabel('WS (m/s)')\n",
    "plt.ylabel('Probability')\n",
    "plt.title('January')\n",
    "plt.legend(['Weibull 1','Weibull 2'], frameon = False)\n",
    "\n",
    "plt.subplot(122)\n",
    "shape, loc, scale = stats.weibull_min.fit(ws_Jul.WS, floc=0)\n",
    "x = np.arange(0, 10, 0.01)\n",
    "sns.lineplot(x, stats.weibull_min.pdf(x, c = shape, scale = scale, loc = loc))\n",
    "sns.distplot(ws_Jul.WS, bins = 30, fit = stats.weibull_min, kde = False, hist = True)\n",
    "plt.xlabel('WS (m/s)')\n",
    "plt.ylabel('Probability')\n",
    "plt.title('July')\n",
    "plt.legend(['Weibull 1','Weibull 2'], frameon = False)\n",
    "\n",
    "plt.subplots_adjust(top=0.92, bottom=0.21, left=0.10, right=1.0, hspace=0.25, wspace=0.45)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "# https://github.com/blaylockbk/Ute_WRF/tree/master/functions\n",
    "# wind vector decomposition to U and V\n",
    "def wind_spddir_to_uv(wspd, wdir):\n",
    "    \"\"\"\n",
    "    calculated the u and v wind components from wind speed and direction\n",
    "    Input:\n",
    "        wspd: wind speed\n",
    "        wdir: wind direction\n",
    "    Output:\n",
    "        u: u wind component\n",
    "        v: v wind component\n",
    "    \"\"\"    \n",
    "    \n",
    "    rad = 4.0*np.arctan(1)/180.\n",
    "    u = -wspd*np.sin(rad*wdir)\n",
    "    v = -wspd*np.cos(rad*wdir)\n",
    "\n",
    "    return u,v\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Using matplotlib backend: nbAgg\n"
     ]
    },
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "window.mpl = {};\n",
       "\n",
       "\n",
       "mpl.get_websocket_type = function() {\n",
       "    if (typeof(WebSocket) !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof(MozWebSocket) !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert('Your browser does not have WebSocket support.' +\n",
       "              'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "              'Firefox 4 and 5 are also supported but you ' +\n",
       "              'have to enable WebSockets in about:config.');\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure = function(figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = (this.ws.binaryType != undefined);\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById(\"mpl-warnings\");\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent = (\n",
       "                \"This browser does not support binary websocket messages. \" +\n",
       "                    \"Performance may be slow.\");\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = $('<div/>');\n",
       "    this._root_extra_style(this.root)\n",
       "    this.root.attr('style', 'display: inline-block');\n",
       "\n",
       "    $(parent_element).append(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen =  function () {\n",
       "            fig.send_message(\"supports_binary\", {value: fig.supports_binary});\n",
       "            fig.send_message(\"send_image_mode\", {});\n",
       "            if (mpl.ratio != 1) {\n",
       "                fig.send_message(\"set_dpi_ratio\", {'dpi_ratio': mpl.ratio});\n",
       "            }\n",
       "            fig.send_message(\"refresh\", {});\n",
       "        }\n",
       "\n",
       "    this.imageObj.onload = function() {\n",
       "            if (fig.image_mode == 'full') {\n",
       "                // Full images could contain transparency (where diff images\n",
       "                // almost always do), so we need to clear the canvas so that\n",
       "                // there is no ghosting.\n",
       "                fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "            }\n",
       "            fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "        };\n",
       "\n",
       "    this.imageObj.onunload = function() {\n",
       "        fig.ws.close();\n",
       "    }\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_header = function() {\n",
       "    var titlebar = $(\n",
       "        '<div class=\"ui-dialog-titlebar ui-widget-header ui-corner-all ' +\n",
       "        'ui-helper-clearfix\"/>');\n",
       "    var titletext = $(\n",
       "        '<div class=\"ui-dialog-title\" style=\"width: 100%; ' +\n",
       "        'text-align: center; padding: 3px;\"/>');\n",
       "    titlebar.append(titletext)\n",
       "    this.root.append(titlebar);\n",
       "    this.header = titletext[0];\n",
       "}\n",
       "\n",
       "\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(canvas_div) {\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = $('<div/>');\n",
       "\n",
       "    canvas_div.attr('style', 'position: relative; clear: both; outline: 0');\n",
       "\n",
       "    function canvas_keyboard_event(event) {\n",
       "        return fig.key_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    canvas_div.keydown('key_press', canvas_keyboard_event);\n",
       "    canvas_div.keyup('key_release', canvas_keyboard_event);\n",
       "    this.canvas_div = canvas_div\n",
       "    this._canvas_extra_style(canvas_div)\n",
       "    this.root.append(canvas_div);\n",
       "\n",
       "    var canvas = $('<canvas/>');\n",
       "    canvas.addClass('mpl-canvas');\n",
       "    canvas.attr('style', \"left: 0; top: 0; z-index: 0; outline: 0\")\n",
       "\n",
       "    this.canvas = canvas[0];\n",
       "    this.context = canvas[0].getContext(\"2d\");\n",
       "\n",
       "    var backingStore = this.context.backingStorePixelRatio ||\n",
       "\tthis.context.webkitBackingStorePixelRatio ||\n",
       "\tthis.context.mozBackingStorePixelRatio ||\n",
       "\tthis.context.msBackingStorePixelRatio ||\n",
       "\tthis.context.oBackingStorePixelRatio ||\n",
       "\tthis.context.backingStorePixelRatio || 1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband = $('<canvas/>');\n",
       "    rubberband.attr('style', \"position: absolute; left: 0; top: 0; z-index: 1;\")\n",
       "\n",
       "    var pass_mouse_events = true;\n",
       "\n",
       "    canvas_div.resizable({\n",
       "        start: function(event, ui) {\n",
       "            pass_mouse_events = false;\n",
       "        },\n",
       "        resize: function(event, ui) {\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "        stop: function(event, ui) {\n",
       "            pass_mouse_events = true;\n",
       "            fig.request_resize(ui.size.width, ui.size.height);\n",
       "        },\n",
       "    });\n",
       "\n",
       "    function mouse_event_fn(event) {\n",
       "        if (pass_mouse_events)\n",
       "            return fig.mouse_event(event, event['data']);\n",
       "    }\n",
       "\n",
       "    rubberband.mousedown('button_press', mouse_event_fn);\n",
       "    rubberband.mouseup('button_release', mouse_event_fn);\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband.mousemove('motion_notify', mouse_event_fn);\n",
       "\n",
       "    rubberband.mouseenter('figure_enter', mouse_event_fn);\n",
       "    rubberband.mouseleave('figure_leave', mouse_event_fn);\n",
       "\n",
       "    canvas_div.on(\"wheel\", function (event) {\n",
       "        event = event.originalEvent;\n",
       "        event['data'] = 'scroll'\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        mouse_event_fn(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.append(canvas);\n",
       "    canvas_div.append(rubberband);\n",
       "\n",
       "    this.rubberband = rubberband;\n",
       "    this.rubberband_canvas = rubberband[0];\n",
       "    this.rubberband_context = rubberband[0].getContext(\"2d\");\n",
       "    this.rubberband_context.strokeStyle = \"#000000\";\n",
       "\n",
       "    this._resize_canvas = function(width, height) {\n",
       "        // Keep the size of the canvas, canvas container, and rubber band\n",
       "        // canvas in synch.\n",
       "        canvas_div.css('width', width)\n",
       "        canvas_div.css('height', height)\n",
       "\n",
       "        canvas.attr('width', width * mpl.ratio);\n",
       "        canvas.attr('height', height * mpl.ratio);\n",
       "        canvas.attr('style', 'width: ' + width + 'px; height: ' + height + 'px;');\n",
       "\n",
       "        rubberband.attr('width', width);\n",
       "        rubberband.attr('height', height);\n",
       "    }\n",
       "\n",
       "    // Set the figure to an initial 600x600px, this will subsequently be updated\n",
       "    // upon first draw.\n",
       "    this._resize_canvas(600, 600);\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    $(this.rubberband_canvas).bind(\"contextmenu\",function(e){\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus () {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            // put a spacer in here.\n",
       "            continue;\n",
       "        }\n",
       "        var button = $('<button/>');\n",
       "        button.addClass('ui-button ui-widget ui-state-default ui-corner-all ' +\n",
       "                        'ui-button-icon-only');\n",
       "        button.attr('role', 'button');\n",
       "        button.attr('aria-disabled', 'false');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "\n",
       "        var icon_img = $('<span/>');\n",
       "        icon_img.addClass('ui-button-icon-primary ui-icon');\n",
       "        icon_img.addClass(image);\n",
       "        icon_img.addClass('ui-corner-all');\n",
       "\n",
       "        var tooltip_span = $('<span/>');\n",
       "        tooltip_span.addClass('ui-button-text');\n",
       "        tooltip_span.html(tooltip);\n",
       "\n",
       "        button.append(icon_img);\n",
       "        button.append(tooltip_span);\n",
       "\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    var fmt_picker_span = $('<span/>');\n",
       "\n",
       "    var fmt_picker = $('<select/>');\n",
       "    fmt_picker.addClass('mpl-toolbar-option ui-widget ui-widget-content');\n",
       "    fmt_picker_span.append(fmt_picker);\n",
       "    nav_element.append(fmt_picker_span);\n",
       "    this.format_dropdown = fmt_picker[0];\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = $(\n",
       "            '<option/>', {selected: fmt === mpl.default_extension}).html(fmt);\n",
       "        fmt_picker.append(option)\n",
       "    }\n",
       "\n",
       "    // Add hover states to the ui-buttons\n",
       "    $( \".ui-button\" ).hover(\n",
       "        function() { $(this).addClass(\"ui-state-hover\");},\n",
       "        function() { $(this).removeClass(\"ui-state-hover\");}\n",
       "    );\n",
       "\n",
       "    var status_bar = $('<span class=\"mpl-message\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.request_resize = function(x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', {'width': x_pixels, 'height': y_pixels});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_message = function(type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function() {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({type: \"draw\", figure_id: this.id}));\n",
       "    }\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function(fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] != fig.canvas.width || size[1] != fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1]);\n",
       "        fig.send_message(\"refresh\", {});\n",
       "    };\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function(fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0, 0, fig.canvas.width, fig.canvas.height);\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function(fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function(fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch(cursor)\n",
       "    {\n",
       "    case 0:\n",
       "        cursor = 'pointer';\n",
       "        break;\n",
       "    case 1:\n",
       "        cursor = 'default';\n",
       "        break;\n",
       "    case 2:\n",
       "        cursor = 'crosshair';\n",
       "        break;\n",
       "    case 3:\n",
       "        cursor = 'move';\n",
       "        break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_message = function(fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function(fig, msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function(fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message(\"ack\", {});\n",
       "}\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function(fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = \"image/png\";\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src);\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data);\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig[\"handle_\" + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\"No handler for the '\" + msg_type + \"' message type: \", msg);\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "}\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function(e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e)\n",
       "        e = window.event;\n",
       "    if (e.target)\n",
       "        targ = e.target;\n",
       "    else if (e.srcElement)\n",
       "        targ = e.srcElement;\n",
       "    if (targ.nodeType == 3) // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "\n",
       "    // jQuery normalizes the pageX and pageY\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    // offset() returns the position of the element relative to the document\n",
       "    var x = e.pageX - $(targ).offset().left;\n",
       "    var y = e.pageY - $(targ).offset().top;\n",
       "\n",
       "    return {\"x\": x, \"y\": y};\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys (original) {\n",
       "  return Object.keys(original).reduce(function (obj, key) {\n",
       "    if (typeof original[key] !== 'object')\n",
       "        obj[key] = original[key]\n",
       "    return obj;\n",
       "  }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function(event, name) {\n",
       "    var canvas_pos = mpl.findpos(event)\n",
       "\n",
       "    if (name === 'button_press')\n",
       "    {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {x: x, y: y, button: event.button,\n",
       "                             step: event.step,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.key_event = function(event, name) {\n",
       "\n",
       "    // Prevent repeat events\n",
       "    if (name == 'key_press')\n",
       "    {\n",
       "        if (event.which === this._key)\n",
       "            return;\n",
       "        else\n",
       "            this._key = event.which;\n",
       "    }\n",
       "    if (name == 'key_release')\n",
       "        this._key = null;\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which != 17)\n",
       "        value += \"ctrl+\";\n",
       "    if (event.altKey && event.which != 18)\n",
       "        value += \"alt+\";\n",
       "    if (event.shiftKey && event.which != 16)\n",
       "        value += \"shift+\";\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, {key: value,\n",
       "                             guiEvent: simpleKeys(event)});\n",
       "    return false;\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function(name) {\n",
       "    if (name == 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message(\"toolbar_button\", {name: name});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";var comm_websocket_adapter = function(comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function() {\n",
       "        comm.close()\n",
       "    };\n",
       "    ws.send = function(m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function(msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data'])\n",
       "    });\n",
       "    return ws;\n",
       "}\n",
       "\n",
       "mpl.mpl_figure_comm = function(comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = $(\"#\" + id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm)\n",
       "\n",
       "    function ondownload(figure, format) {\n",
       "        window.open(figure.imageObj.src);\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy,\n",
       "                           ondownload,\n",
       "                           element.get(0));\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element.get(0);\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error(\"Failed to find cell for figure\", id, fig);\n",
       "        return;\n",
       "    }\n",
       "\n",
       "    var output_index = fig.cell_info[2]\n",
       "    var cell = fig.cell_info[0];\n",
       "\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function(fig, msg) {\n",
       "    var width = fig.canvas.width/mpl.ratio\n",
       "    fig.root.unbind('remove')\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable()\n",
       "    $(fig.parent_element).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n",
       "    fig.close_ws(fig, msg);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.close_ws = function(fig, msg){\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function(remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width/mpl.ratio\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function() {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message(\"ack\", {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () { fig.push_to_output() }, 1000);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function() {\n",
       "    var fig = this;\n",
       "\n",
       "    var nav_element = $('<div/>')\n",
       "    nav_element.attr('style', 'width: 100%');\n",
       "    this.root.append(nav_element);\n",
       "\n",
       "    // Define a callback function for later on.\n",
       "    function toolbar_event(event) {\n",
       "        return fig.toolbar_button_onclick(event['data']);\n",
       "    }\n",
       "    function toolbar_mouse_event(event) {\n",
       "        return fig.toolbar_button_onmouseover(event['data']);\n",
       "    }\n",
       "\n",
       "    for(var toolbar_ind in mpl.toolbar_items){\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) { continue; };\n",
       "\n",
       "        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n",
       "        button.click(method_name, toolbar_event);\n",
       "        button.mouseover(tooltip, toolbar_mouse_event);\n",
       "        nav_element.append(button);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n",
       "    nav_element.append(status_bar);\n",
       "    this.message = status_bar[0];\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n",
       "    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n",
       "    button.click(function (evt) { fig.handle_close(fig, {}); } );\n",
       "    button.mouseover('Stop Interaction', toolbar_mouse_event);\n",
       "    buttongrp.append(button);\n",
       "    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n",
       "    titlebar.prepend(buttongrp);\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function(el){\n",
       "    var fig = this\n",
       "    el.on(\"remove\", function(){\n",
       "\tfig.close_ws(fig, {});\n",
       "    });\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function(el){\n",
       "    // this is important to make the div 'focusable\n",
       "    el.attr('tabindex', 0)\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    }\n",
       "    else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "\n",
       "}\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function(event, name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager)\n",
       "        manager = IPython.keyboard_manager;\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which == 13) {\n",
       "        this.canvas_div.blur();\n",
       "        event.shiftKey = false;\n",
       "        // Send a \"J\" for go to next cell\n",
       "        event.which = 74;\n",
       "        event.keyCode = 74;\n",
       "        manager.command_mode();\n",
       "        manager.handle_keydown(event);\n",
       "    }\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.handle_save = function(fig, msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "}\n",
       "\n",
       "\n",
       "mpl.find_output_cell = function(html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i=0; i<ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code'){\n",
       "            for (var j=0; j<cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] == html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "}\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel != null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" width=\"640\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# animation plot of wind vector\n",
    "%matplotlib \n",
    "\n",
    "u1, v1 = wind_spddir_to_uv(ws_Jan.WS, wd_Jan.WD)\n",
    "\n",
    "plt.ion\n",
    "fg = plt.figure()\n",
    "ax = fg.add_subplot(111)\n",
    "\n",
    "for i in range(0, len(u1)):\n",
    "    plt.clf()\n",
    "    plt.quiver(-u1[i], -v1[i], scale=20.0, color = 'blue')\n",
    "    plt.xlim([-2,2])\n",
    "    plt.ylim([-2,2])\n",
    "    plt.text(x = 0.6, y = 0.0, s='{0}-{1}-{2}-{3}'.format(\n",
    "            ws_Jan.index[i].year, ws_Jan.index[i].month, ws_Jan.index[i].day, \n",
    "            ws_Jan.index[i].hour))\n",
    "    plt.text(x = 0.6, y = -1.5, s='(U,V) = ({0},{1})'.format(round(u1[i],2), round(v1[i],2)))\n",
    "    plt.text(x = 0.6, y = -0.5, s='Wind direction: {0}'.format(round(wd_Jan.WD[i], 2)))\n",
    "    plt.text(x = 0.6, y = -1.0, s='Wind speed: {0} (m/s)'.format(round(ws_Jan.WS[i], 2)))\n",
    "    plt.savefig('{0}.png'.format(i))\n",
    "    fg.canvas.draw()\n",
    "    fg.canvas.flush_events()\n",
    "    \n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "ename": "FileNotFoundError",
     "evalue": "No such file: '/Users/orbenyang/Documents/Weichat_Publication/0.png'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mFileNotFoundError\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-27-332847f7388e>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mrange\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mu1\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[0m\n\u001b[1;32m      7\u001b[0m     \u001b[0mfilename\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mstr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'{0}.png'\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mi\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m     \u001b[0mgraphs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mappend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mimageio\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mimread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilename\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      9\u001b[0m \u001b[0moutput_file\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m'Gif_{0}.gif'\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mformat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdatetime\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtoday\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[0m\n\u001b[1;32m     10\u001b[0m \u001b[0mimageio\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mmimsave\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0moutput_file\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mgraphs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mduration\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m0.1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mloop\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/anaconda3/lib/python3.6/site-packages/imageio/core/functions.py\u001b[0m in \u001b[0;36mimread\u001b[0;34m(uri, format, **kwargs)\u001b[0m\n\u001b[1;32m    219\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    220\u001b[0m     \u001b[0;31m# Get reader and read first\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 221\u001b[0;31m     \u001b[0mreader\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0muri\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mformat\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"i\"\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[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    222\u001b[0m     \u001b[0;32mwith\u001b[0m \u001b[0mreader\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    223\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mreader\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_data\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[0m\n",
      "\u001b[0;32m/anaconda3/lib/python3.6/site-packages/imageio/core/functions.py\u001b[0m in \u001b[0;36mget_reader\u001b[0;34m(uri, format, mode, **kwargs)\u001b[0m\n\u001b[1;32m    128\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    129\u001b[0m     \u001b[0;31m# Create request object\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 130\u001b[0;31m     \u001b[0mrequest\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mRequest\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0muri\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"r\"\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mmode\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[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    131\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    132\u001b[0m     \u001b[0;31m# Get format\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/anaconda3/lib/python3.6/site-packages/imageio/core/request.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, uri, mode, **kwargs)\u001b[0m\n\u001b[1;32m    124\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    125\u001b[0m         \u001b[0;31m# Parse what was given\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 126\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_parse_uri\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0muri\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    127\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    128\u001b[0m         \u001b[0;31m# Set extension\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m/anaconda3/lib/python3.6/site-packages/imageio/core/request.py\u001b[0m in \u001b[0;36m_parse_uri\u001b[0;34m(self, uri)\u001b[0m\n\u001b[1;32m    276\u001b[0m                 \u001b[0;31m# Reading: check that the file exists (but is allowed a dir)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    277\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mexists\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfn\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 278\u001b[0;31m                     \u001b[0;32mraise\u001b[0m \u001b[0mFileNotFoundError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"No such file: '%s'\"\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0mfn\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    279\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    280\u001b[0m                 \u001b[0;31m# Writing: check that the directory to write to does exist\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mFileNotFoundError\u001b[0m: No such file: '/Users/orbenyang/Documents/Weichat_Publication/0.png'"
     ]
    }
   ],
   "source": [
    "# output animation of wind vector to a gif format picture file\n",
    "import glob\n",
    "import imageio\n",
    "\n",
    "graphs = []\n",
    "for i in range(0, len(u1)):\n",
    "    filename = str('{0}.png'.format(i))\n",
    "    graphs.append(imageio.imread(filename))\n",
    "output_file = 'Gif_{0}.gif'.format(datetime.today())\n",
    "imageio.mimsave(output_file, graphs, duration = 0.1, loop = 1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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