cleaning_sensor_data.ipynb

{
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  {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date\tTime\tWind dir\tWind spd\tWind gust\tTmp\tDew pt\tFeels like\trh\tFire\tRain\tRain 10'\tPres</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>01/01/2013\\tWed 00:00 EDT\\tWNW\\t9\\t9\\t19.6\\t0....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>01/01/2013\\tTue 23:30 EDT\\tWNW\\t-\\t13\\t20.7\\t0...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>01/01/2013\\tTue 23:00 EDT\\tW\\t9\\t11\\t22.8\\t0.9...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>01/01/2013\\tTue 22:30 EDT\\tWNW\\t11\\t13\\t22.6\\t...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>01/01/2013\\tTue 22:00 EDT\\tWNW\\t15\\t19\\t23.9\\t...</td>\n",
       "    </tr>\n",
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      "text/plain": [
       "  Date\\tTime\\tWind dir\\tWind spd\\tWind gust\\tTmp\\tDew pt\\tFeels like\\trh\\tFire\\tRain\\tRain 10'\\tPres\n",
       "0  01/01/2013\\tWed 00:00 EDT\\tWNW\\t9\\t9\\t19.6\\t0....                                                \n",
       "1  01/01/2013\\tTue 23:30 EDT\\tWNW\\t-\\t13\\t20.7\\t0...                                                \n",
       "2  01/01/2013\\tTue 23:00 EDT\\tW\\t9\\t11\\t22.8\\t0.9...                                                \n",
       "3  01/01/2013\\tTue 22:30 EDT\\tWNW\\t11\\t13\\t22.6\\t...                                                \n",
       "4  01/01/2013\\tTue 22:00 EDT\\tWNW\\t15\\t19\\t23.9\\t...                                                "
      ]
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     "execution_count": 12,
     "metadata": {},
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    }
   ],
   "source": [
    "%matplotlib notebook\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "weather_observations = pd.read_csv('DataSource/SensorData/Canberra_observations.csv')\n",
    "weather_observations.head()\n",
    "     "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
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       "      <th></th>\n",
       "      <th>Datetime</th>\n",
       "      <th>Wind dir</th>\n",
       "      <th>Wind spd</th>\n",
       "      <th>Wind gust</th>\n",
       "      <th>Tmp</th>\n",
       "      <th>Dew pt</th>\n",
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       "      <th>rh</th>\n",
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       "      <th>Rain</th>\n",
       "      <th>Rain 10'</th>\n",
       "      <th>Pres</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2013-01-01 00:00:00</td>\n",
       "      <td>WNW</td>\n",
       "      <td>9.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>19.6</td>\n",
       "      <td>0.1</td>\n",
       "      <td>19.6</td>\n",
       "      <td>27.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2013-01-01 23:30:00</td>\n",
       "      <td>WNW</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.0</td>\n",
       "      <td>20.7</td>\n",
       "      <td>0.7</td>\n",
       "      <td>20.7</td>\n",
       "      <td>26.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2013-01-01 23:00:00</td>\n",
       "      <td>W</td>\n",
       "      <td>9.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>22.8</td>\n",
       "      <td>0.9</td>\n",
       "      <td>22.8</td>\n",
       "      <td>23.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1011.0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2013-01-01 22:30:00</td>\n",
       "      <td>WNW</td>\n",
       "      <td>11.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>22.6</td>\n",
       "      <td>-1.0</td>\n",
       "      <td>22.6</td>\n",
       "      <td>21.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <th>4</th>\n",
       "      <td>2013-01-01 22:00:00</td>\n",
       "      <td>WNW</td>\n",
       "      <td>15.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>23.9</td>\n",
       "      <td>-2.2</td>\n",
       "      <td>23.9</td>\n",
       "      <td>18.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1011.1</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2013-01-01 21:30:00</td>\n",
       "      <td>W</td>\n",
       "      <td>13.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>-2.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1011.0</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2013-01-01 21:00:00</td>\n",
       "      <td>WNW</td>\n",
       "      <td>15.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>25.8</td>\n",
       "      <td>-4.4</td>\n",
       "      <td>25.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>27.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1010.8</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2013-01-01 20:30:00</td>\n",
       "      <td>W</td>\n",
       "      <td>22.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>27.3</td>\n",
       "      <td>-6.4</td>\n",
       "      <td>26.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1010.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2013-01-01 20:00:00</td>\n",
       "      <td>W</td>\n",
       "      <td>20.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>27.7</td>\n",
       "      <td>-3.5</td>\n",
       "      <td>26.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>1010.4</td>\n",
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       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2013-01-01 19:30:00</td>\n",
       "      <td>W</td>\n",
       "      <td>24.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>28.9</td>\n",
       "      <td>-5.2</td>\n",
       "      <td>27.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1010.2</td>\n",
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       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "             Datetime Wind dir  Wind spd  Wind gust   Tmp  Dew pt  Feels like  \\\n",
       "0 2013-01-01 00:00:00      WNW       9.0        9.0  19.6     0.1        19.6   \n",
       "1 2013-01-01 23:30:00      WNW       NaN       13.0  20.7     0.7        20.7   \n",
       "2 2013-01-01 23:00:00        W       9.0       11.0  22.8     0.9        22.8   \n",
       "3 2013-01-01 22:30:00      WNW      11.0       13.0  22.6    -1.0        22.6   \n",
       "4 2013-01-01 22:00:00      WNW      15.0       19.0  23.9    -2.2        23.9   \n",
       "5 2013-01-01 21:30:00        W      13.0       17.0  24.0    -2.0        24.0   \n",
       "6 2013-01-01 21:00:00      WNW      15.0       22.0  25.8    -4.4        25.0   \n",
       "7 2013-01-01 20:30:00        W      22.0       33.0  27.3    -6.4        26.0   \n",
       "8 2013-01-01 20:00:00        W      20.0       28.0  27.7    -3.5        26.0   \n",
       "9 2013-01-01 19:30:00        W      24.0       35.0  28.9    -5.2        27.0   \n",
       "\n",
       "     rh  Fire  Rain  Rain 10'    Pres  \n",
       "0  27.0  12.0   0.0       0.0  1011.4  \n",
       "1  26.0  13.0   0.0       0.0  1011.1  \n",
       "2  23.0  15.0   0.0       0.0  1011.0  \n",
       "3  21.0  17.0   0.0       0.0  1011.0  \n",
       "4  18.0  21.0   0.0       0.0  1011.1  \n",
       "5  18.0  20.0   0.0       0.0  1011.0  \n",
       "6  13.0  27.0   0.0       0.0  1010.8  \n",
       "7  10.0  37.0   0.0       0.0  1010.6  \n",
       "8  13.0  33.0   0.0       0.0  1010.4  \n",
       "9  10.0  41.0   0.0       0.0  1010.2  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# pandas.read_csv()  \n",
    "# You can pass some intelligent arguments to read CSV more cleanly\n",
    "# sep: The separator between columns\n",
    "# parse_dates: Treat one or more columns like dates\n",
    "# dayfirst: Use DD.MM.YYYY format, not month first\n",
    "# infer_datetime_format: Tell Pandas to guess the date format\n",
    "# na_values: Add values to treat as empty\n",
    "\n",
    "wo = pd.read_csv('DataSource/SensorData/Canberra_observations.csv',\n",
    "     sep='\\t',\n",
    "     parse_dates={'Datetime': ['Date', 'Time']},\n",
    "     dayfirst=True,\n",
    "     infer_datetime_format=True,\n",
    "     na_values=['-']\n",
    ")\n",
    "\n",
    "wo.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
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       "      <th>Wind dir</th>\n",
       "      <th>Wind spd</th>\n",
       "      <th>Wind gust</th>\n",
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       "      <th>Feels like</th>\n",
       "      <th>rh</th>\n",
       "      <th>Fire</th>\n",
       "      <th>Rain</th>\n",
       "      <th>Rain 10'</th>\n",
       "      <th>Pres</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2013-01-01 00:00:00</td>\n",
       "      <td>WNW</td>\n",
       "      <td>9.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>19.6</td>\n",
       "      <td>0.1</td>\n",
       "      <td>19.6</td>\n",
       "      <td>27.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
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       "      <td>1011.4</td>\n",
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       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>2013-01-01 00:00:00</td>\n",
       "      <td>ENE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>15.9</td>\n",
       "      <td>3.7</td>\n",
       "      <td>15.9</td>\n",
       "      <td>44.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1014.1</td>\n",
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       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>2013-01-01 00:30:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14.5</td>\n",
       "      <td>4.7</td>\n",
       "      <td>14.5</td>\n",
       "      <td>52.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1014.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>2013-01-01 01:00:00</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.8</td>\n",
       "      <td>4.6</td>\n",
       "      <td>12.8</td>\n",
       "      <td>57.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1013.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>2013-01-01 01:30:00</td>\n",
       "      <td>SSW</td>\n",
       "      <td>6.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>13.3</td>\n",
       "      <td>5.9</td>\n",
       "      <td>13.3</td>\n",
       "      <td>61.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1013.4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              Datetime Wind dir  Wind spd  Wind gust   Tmp  Dew pt  \\\n",
       "0  2013-01-01 00:00:00      WNW       9.0        9.0  19.6     0.1   \n",
       "50 2013-01-01 00:00:00      ENE       2.0        6.0  15.9     3.7   \n",
       "49 2013-01-01 00:30:00      NaN       0.0        0.0  14.5     4.7   \n",
       "48 2013-01-01 01:00:00      NaN       0.0        0.0  12.8     4.6   \n",
       "47 2013-01-01 01:30:00      SSW       6.0        9.0  13.3     5.9   \n",
       "\n",
       "    Feels like    rh  Fire  Rain  Rain 10'    Pres  \n",
       "0         19.6  27.0  12.0   0.0       0.0  1011.4  \n",
       "50        15.9  44.0   5.0   0.0       0.0  1014.1  \n",
       "49        14.5  52.0   3.0   0.0       0.0  1014.0  \n",
       "48        12.8  57.0   3.0   0.0       0.0  1013.5  \n",
       "47        13.3  61.0   3.0   0.0       0.0  1013.4  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Time for more Kung Fu Panda\n",
    "# DataFrame.sort_values(): Rearrange in order.\n",
    "# DataFrame.drop_duplicates(): Delete duplicated items.\n",
    "# DataFrame.set_index(): Specify a column to use as index.\n",
    "\n",
    "sorted_dataframe = wo.sort_values('Datetime')\n",
    "sorted_dataframe.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>Wind dir</th>\n",
       "      <th>Wind spd</th>\n",
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       "      <th>Tmp</th>\n",
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       "      <th>Feels like</th>\n",
       "      <th>rh</th>\n",
       "      <th>Fire</th>\n",
       "      <th>Rain</th>\n",
       "      <th>Rain 10'</th>\n",
       "      <th>Pres</th>\n",
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       "    <tr>\n",
       "      <th>Datetime</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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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2013-01-01 00:00:00</th>\n",
       "      <td>ENE</td>\n",
       "      <td>2.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>15.9</td>\n",
       "      <td>3.7</td>\n",
       "      <td>15.9</td>\n",
       "      <td>44.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1014.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-01 00:30:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14.5</td>\n",
       "      <td>4.7</td>\n",
       "      <td>14.5</td>\n",
       "      <td>52.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1014.0</td>\n",
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       "    <tr>\n",
       "      <th>2013-01-01 01:00:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>12.8</td>\n",
       "      <td>4.6</td>\n",
       "      <td>12.8</td>\n",
       "      <td>57.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1013.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-01 01:30:00</th>\n",
       "      <td>SSW</td>\n",
       "      <td>6.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>13.3</td>\n",
       "      <td>5.9</td>\n",
       "      <td>13.3</td>\n",
       "      <td>61.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1013.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-01-01 02:00:00</th>\n",
       "      <td>SW</td>\n",
       "      <td>2.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>12.5</td>\n",
       "      <td>4.7</td>\n",
       "      <td>12.5</td>\n",
       "      <td>59.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1013.2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Wind dir  Wind spd  Wind gust   Tmp  Dew pt  Feels like  \\\n",
       "Datetime                                                                      \n",
       "2013-01-01 00:00:00      ENE       2.0        6.0  15.9     3.7        15.9   \n",
       "2013-01-01 00:30:00      NaN       0.0        0.0  14.5     4.7        14.5   \n",
       "2013-01-01 01:00:00      NaN       0.0        0.0  12.8     4.6        12.8   \n",
       "2013-01-01 01:30:00      SSW       6.0        9.0  13.3     5.9        13.3   \n",
       "2013-01-01 02:00:00       SW       2.0        7.0  12.5     4.7        12.5   \n",
       "\n",
       "                       rh  Fire  Rain  Rain 10'    Pres  \n",
       "Datetime                                                 \n",
       "2013-01-01 00:00:00  44.0   5.0   0.0       0.0  1014.1  \n",
       "2013-01-01 00:30:00  52.0   3.0   0.0       0.0  1014.0  \n",
       "2013-01-01 01:00:00  57.0   3.0   0.0       0.0  1013.5  \n",
       "2013-01-01 01:30:00  61.0   3.0   0.0       0.0  1013.4  \n",
       "2013-01-01 02:00:00  59.0   3.0   0.0       0.0  1013.2  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Oooops!! Why are there two midnights? \n",
    "# Lets clean the duplicates up\n",
    "\n",
    "no_duplicates = sorted_dataframe.drop_duplicates('Datetime', keep='last')\n",
    "\n",
    "indexed_weather_observations = no_duplicates.set_index('Datetime')\n",
    "\n",
    "indexed_weather_observations.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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      "text/plain": [
       "                     Wind dir  Wind spd  Wind gust   Tmp  Dew pt  Feels like  \\\n",
       "Datetime                                                                       \n",
       "2013-01-01 00:00:00      67.5       2.0        6.0  15.9     3.7        15.9   \n",
       "2013-01-01 00:30:00       NaN       0.0        0.0  14.5     4.7        14.5   \n",
       "2013-01-01 01:00:00       NaN       0.0        0.0  12.8     4.6        12.8   \n",
       "2013-01-01 01:30:00     202.5       6.0        9.0  13.3     5.9        13.3   \n",
       "2013-01-01 02:00:00     225.0       2.0        7.0  12.5     4.7        12.5   \n",
       "\n",
       "                       rh  Fire  Rain  Rain 10'    Pres  \n",
       "Datetime                                                 \n",
       "2013-01-01 00:00:00  44.0   5.0   0.0       0.0  1014.1  \n",
       "2013-01-01 00:30:00  52.0   3.0   0.0       0.0  1014.0  \n",
       "2013-01-01 01:00:00  57.0   3.0   0.0       0.0  1013.5  \n",
       "2013-01-01 01:30:00  61.0   3.0   0.0       0.0  1013.4  \n",
       "2013-01-01 02:00:00  59.0   3.0   0.0       0.0  1013.2  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Its time to learn Transforming column values\n",
    "# To prepare wind data for weather modelling, \n",
    "# you can use the wind values in a numerical format. \n",
    "# By convention, north wind (↓) is 0 degrees, going clockwise ⟳. \n",
    "# East wind (←) is 90 degrees, and so on. You will leverage Pandas to transform:\n",
    "# Series.apply(): Transforms each entry with a function.\n",
    "\n",
    "wind_directions = {\n",
    "     'N':   0. , 'NNE':  22.5, 'NE':  45. , 'ENE':  67.5 ,\n",
    "     'E':  90. , 'ESE': 112.5, 'SE': 135. , 'SSE': 157.5 ,\n",
    "     'S': 180. , 'SSW': 202.5, 'SW': 225. , 'WSW': 247.5 ,\n",
    "     'W': 270. , 'WNW': 292.5, 'NW': 315. , 'NNW': 337.5 }\n",
    "\n",
    "# `get()` accesses values fomr the dictionary safely\n",
    "indexed_weather_observations['Wind dir'] = indexed_weather_observations['Wind dir'].apply(wind_directions.get)\n",
    "indexed_weather_observations.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
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      "text/plain": [
       "                     Wind dir  Wind spd  Wind gust   Tmp  Dew pt  Feels like  \\\n",
       "Datetime                                                                       \n",
       "2013-02-04 00:30:00      67.5       9.0       15.0  15.1    12.6        15.1   \n",
       "2013-02-04 00:33:00      67.5       7.0       11.0  15.0    12.7        15.0   \n",
       "2013-02-04 01:00:00      67.5       6.0        9.0  14.9    12.8        14.9   \n",
       "2013-02-04 01:11:00      45.0       4.0        7.0  15.0    12.9        15.0   \n",
       "2013-02-04 01:30:00      67.5       6.0        7.0  15.4    12.9        15.4   \n",
       "\n",
       "                       rh  Fire  Rain  Rain 10'    Pres  \n",
       "Datetime                                                 \n",
       "2013-02-04 00:30:00  85.0   1.0   0.0       0.0  1020.2  \n",
       "2013-02-04 00:33:00  86.0   1.0   0.0       0.0  1020.2  \n",
       "2013-02-04 01:00:00  87.0   1.0   0.0       0.0  1020.2  \n",
       "2013-02-04 01:11:00  87.0   1.0   0.0       0.0  1020.1  \n",
       "2013-02-04 01:30:00  85.0   1.0   0.0       0.0  1020.0  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Digging deeper, to find more flaws in the dataset\n",
    "indexed_weather_observations[1800:1805]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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       "      <td>14.7</td>\n",
       "      <td>13.1</td>\n",
       "      <td>14.7</td>\n",
       "      <td>90.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1019.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-02-04 02:30:00</th>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14.6</td>\n",
       "      <td>13.0</td>\n",
       "      <td>14.6</td>\n",
       "      <td>90.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1019.9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Wind dir  Wind spd  Wind gust   Tmp  Dew pt  Feels like  \\\n",
       "Datetime                                                                       \n",
       "2013-02-04 00:30:00      67.5       9.0       15.0  15.1    12.6        15.1   \n",
       "2013-02-04 01:00:00      67.5       6.0        9.0  14.9    12.8        14.9   \n",
       "2013-02-04 01:30:00      67.5       6.0        7.0  15.4    12.9        15.4   \n",
       "2013-02-04 02:00:00       NaN       0.0        0.0  14.7    13.1        14.7   \n",
       "2013-02-04 02:30:00       NaN       0.0        0.0  14.6    13.0        14.6   \n",
       "\n",
       "                       rh  Fire  Rain  Rain 10'    Pres  \n",
       "Datetime                                                 \n",
       "2013-02-04 00:30:00  85.0   1.0   0.0       0.0  1020.2  \n",
       "2013-02-04 01:00:00  87.0   1.0   0.0       0.0  1020.2  \n",
       "2013-02-04 01:30:00  85.0   1.0   0.0       0.0  1020.0  \n",
       "2013-02-04 02:00:00  90.0   1.0   0.0       0.0  1019.9  \n",
       "2013-02-04 02:30:00  90.0   1.0   0.0       0.0  1019.9  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 00:33:00? 01:11:00? These are odd timestamps. \n",
    "# There is a function to ensure a consistent frequency\n",
    "# DataFrame.asfreq(): Forces a specific frequency on the index, discarding and filling the rest\n",
    "\n",
    "# Force the index to be every 30 minutes\n",
    "regular_observations = indexed_weather_observations.asfreq('30min')\n",
    "         \n",
    "# Same section at different indices since setting  \n",
    "# its frequency :)\n",
    "regular_observations[1633:1638]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": true
   },
   "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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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>"
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\" width=\"1800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f35064ce400>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "matplotlib.style.use('ggplot')\n",
    "plt.rcParams['figure.figsize'] = (18, 5)\n",
    "\n",
    "# Plot the first 500 entries with selected columns\n",
    "regular_observations[['Wind spd', 'Wind gust', 'Tmp', 'Feels like']][:500].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Wind dir</th>\n",
       "      <th>Wind spd</th>\n",
       "      <th>Wind gust</th>\n",
       "      <th>Tmp</th>\n",
       "      <th>Dew pt</th>\n",
       "      <th>Feels like</th>\n",
       "      <th>rh</th>\n",
       "      <th>Fire</th>\n",
       "      <th>Rain</th>\n",
       "      <th>Rain 10'</th>\n",
       "      <th>Pres</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Datetime</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>2013-02-04 00:30:00</th>\n",
       "      <td>67.5</td>\n",
       "      <td>9.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>15.1</td>\n",
       "      <td>12.6</td>\n",
       "      <td>15.1</td>\n",
       "      <td>85.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1020.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-02-04 01:00:00</th>\n",
       "      <td>67.5</td>\n",
       "      <td>6.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>14.9</td>\n",
       "      <td>12.8</td>\n",
       "      <td>14.9</td>\n",
       "      <td>87.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1020.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-02-04 01:30:00</th>\n",
       "      <td>67.5</td>\n",
       "      <td>6.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>15.4</td>\n",
       "      <td>12.9</td>\n",
       "      <td>15.4</td>\n",
       "      <td>85.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1020.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-02-04 02:00:00</th>\n",
       "      <td>67.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14.7</td>\n",
       "      <td>13.1</td>\n",
       "      <td>14.7</td>\n",
       "      <td>90.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1019.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2013-02-04 02:30:00</th>\n",
       "      <td>67.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>14.6</td>\n",
       "      <td>13.0</td>\n",
       "      <td>14.6</td>\n",
       "      <td>90.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1019.9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Wind dir  Wind spd  Wind gust   Tmp  Dew pt  Feels like  \\\n",
       "Datetime                                                                       \n",
       "2013-02-04 00:30:00      67.5       9.0       15.0  15.1    12.6        15.1   \n",
       "2013-02-04 01:00:00      67.5       6.0        9.0  14.9    12.8        14.9   \n",
       "2013-02-04 01:30:00      67.5       6.0        7.0  15.4    12.9        15.4   \n",
       "2013-02-04 02:00:00      67.5       0.0        0.0  14.7    13.1        14.7   \n",
       "2013-02-04 02:30:00      67.5       0.0        0.0  14.6    13.0        14.6   \n",
       "\n",
       "                       rh  Fire  Rain  Rain 10'    Pres  \n",
       "Datetime                                                 \n",
       "2013-02-04 00:30:00  85.0   1.0   0.0       0.0  1020.2  \n",
       "2013-02-04 01:00:00  87.0   1.0   0.0       0.0  1020.2  \n",
       "2013-02-04 01:30:00  85.0   1.0   0.0       0.0  1020.0  \n",
       "2013-02-04 02:00:00  90.0   1.0   0.0       0.0  1019.9  \n",
       "2013-02-04 02:30:00  90.0   1.0   0.0       0.0  1019.9  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Looking closer, there seem to be gaps around Jan 6th, 7th, and more.\n",
    "# You need to fill these with something meaningful.\n",
    "# Interpolate and fill empty rows using: \n",
    "# Series.interpolate(): Fill in empty values based on index.\n",
    "\n",
    "# Interpolate data to fill empty values\n",
    "for column in regular_observations.columns:\n",
    "    regular_observations[column].interpolate('time', inplace=True, limit_direction='both')\n",
    "\n",
    "# Display some interpolated entries    \n",
    "regular_observations[1633:1638]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "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\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\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": [
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width=\"1800\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f350643a518>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "regular_observations[['Wind spd', 'Wind gust', 'Tmp', 'Feels like']][:500].plot()"
   ]
  }
 ],
 "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": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}