bar_heat_maps.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Purpose\n",
    "This notebook creates bar chart and heatmaps of weekly patterns in daily ridership on the mta\n",
    "\n",
    "The notenbook starts with the output from [MTA-project1](MTA-project1.ipynb)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Import Previous Results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead 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>index</th>\n",
       "      <th>C/A</th>\n",
       "      <th>UNIT</th>\n",
       "      <th>SCP</th>\n",
       "      <th>STATION</th>\n",
       "      <th>LINENAME</th>\n",
       "      <th>DIVISION</th>\n",
       "      <th>DATE</th>\n",
       "      <th>TIME</th>\n",
       "      <th>DESC</th>\n",
       "      <th>...</th>\n",
       "      <th>DIFF_EXITS</th>\n",
       "      <th>DAY</th>\n",
       "      <th>RIDERSHIP</th>\n",
       "      <th>TIME_TIME</th>\n",
       "      <th>TIME_INT</th>\n",
       "      <th>DIFF_HRS</th>\n",
       "      <th>DIFF_HRS_ROUND</th>\n",
       "      <th>TIME_ROUND</th>\n",
       "      <th>DIFF_ENTRIES_PER_HR</th>\n",
       "      <th>DIFF_EXITS_PER_HR</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>35984</td>\n",
       "      <td>H038</td>\n",
       "      <td>R350</td>\n",
       "      <td>00-00-00</td>\n",
       "      <td>LIVONIA AV</td>\n",
       "      <td>L</td>\n",
       "      <td>BMT</td>\n",
       "      <td>07/06/2019</td>\n",
       "      <td>05:00:00</td>\n",
       "      <td>REGULAR</td>\n",
       "      <td>...</td>\n",
       "      <td>23.0</td>\n",
       "      <td>5</td>\n",
       "      <td>25.0</td>\n",
       "      <td>05:00:00</td>\n",
       "      <td>5</td>\n",
       "      <td>04:00:00</td>\n",
       "      <td>4</td>\n",
       "      <td>05:00:00</td>\n",
       "      <td>0.5</td>\n",
       "      <td>5.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>35985</td>\n",
       "      <td>H038</td>\n",
       "      <td>R350</td>\n",
       "      <td>00-00-00</td>\n",
       "      <td>LIVONIA AV</td>\n",
       "      <td>L</td>\n",
       "      <td>BMT</td>\n",
       "      <td>07/06/2019</td>\n",
       "      <td>09:00:00</td>\n",
       "      <td>REGULAR</td>\n",
       "      <td>...</td>\n",
       "      <td>51.0</td>\n",
       "      <td>5</td>\n",
       "      <td>94.0</td>\n",
       "      <td>09:00:00</td>\n",
       "      <td>9</td>\n",
       "      <td>04:00:00</td>\n",
       "      <td>4</td>\n",
       "      <td>09:00:00</td>\n",
       "      <td>10.75</td>\n",
       "      <td>12.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>35986</td>\n",
       "      <td>H038</td>\n",
       "      <td>R350</td>\n",
       "      <td>00-00-00</td>\n",
       "      <td>LIVONIA AV</td>\n",
       "      <td>L</td>\n",
       "      <td>BMT</td>\n",
       "      <td>07/06/2019</td>\n",
       "      <td>13:00:00</td>\n",
       "      <td>REGULAR</td>\n",
       "      <td>...</td>\n",
       "      <td>60.0</td>\n",
       "      <td>5</td>\n",
       "      <td>113.0</td>\n",
       "      <td>13:00:00</td>\n",
       "      <td>13</td>\n",
       "      <td>04:00:00</td>\n",
       "      <td>4</td>\n",
       "      <td>13:00:00</td>\n",
       "      <td>13.25</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>35987</td>\n",
       "      <td>H038</td>\n",
       "      <td>R350</td>\n",
       "      <td>00-00-00</td>\n",
       "      <td>LIVONIA AV</td>\n",
       "      <td>L</td>\n",
       "      <td>BMT</td>\n",
       "      <td>07/06/2019</td>\n",
       "      <td>17:00:00</td>\n",
       "      <td>REGULAR</td>\n",
       "      <td>...</td>\n",
       "      <td>63.0</td>\n",
       "      <td>5</td>\n",
       "      <td>128.0</td>\n",
       "      <td>17:00:00</td>\n",
       "      <td>17</td>\n",
       "      <td>04:00:00</td>\n",
       "      <td>4</td>\n",
       "      <td>17:00:00</td>\n",
       "      <td>16.25</td>\n",
       "      <td>15.75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>35988</td>\n",
       "      <td>H038</td>\n",
       "      <td>R350</td>\n",
       "      <td>00-00-00</td>\n",
       "      <td>LIVONIA AV</td>\n",
       "      <td>L</td>\n",
       "      <td>BMT</td>\n",
       "      <td>07/06/2019</td>\n",
       "      <td>21:00:00</td>\n",
       "      <td>REGULAR</td>\n",
       "      <td>...</td>\n",
       "      <td>44.0</td>\n",
       "      <td>5</td>\n",
       "      <td>74.0</td>\n",
       "      <td>21:00:00</td>\n",
       "      <td>21</td>\n",
       "      <td>04:00:00</td>\n",
       "      <td>4</td>\n",
       "      <td>21:00:00</td>\n",
       "      <td>7.5</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 25 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   index   C/A  UNIT       SCP     STATION LINENAME DIVISION        DATE  \\\n",
       "1  35984  H038  R350  00-00-00  LIVONIA AV        L      BMT  07/06/2019   \n",
       "2  35985  H038  R350  00-00-00  LIVONIA AV        L      BMT  07/06/2019   \n",
       "3  35986  H038  R350  00-00-00  LIVONIA AV        L      BMT  07/06/2019   \n",
       "4  35987  H038  R350  00-00-00  LIVONIA AV        L      BMT  07/06/2019   \n",
       "5  35988  H038  R350  00-00-00  LIVONIA AV        L      BMT  07/06/2019   \n",
       "\n",
       "       TIME     DESC  ...  DIFF_EXITS  DAY RIDERSHIP TIME_TIME  TIME_INT  \\\n",
       "1  05:00:00  REGULAR  ...        23.0    5      25.0  05:00:00         5   \n",
       "2  09:00:00  REGULAR  ...        51.0    5      94.0  09:00:00         9   \n",
       "3  13:00:00  REGULAR  ...        60.0    5     113.0  13:00:00        13   \n",
       "4  17:00:00  REGULAR  ...        63.0    5     128.0  17:00:00        17   \n",
       "5  21:00:00  REGULAR  ...        44.0    5      74.0  21:00:00        21   \n",
       "\n",
       "   DIFF_HRS  DIFF_HRS_ROUND  TIME_ROUND DIFF_ENTRIES_PER_HR  DIFF_EXITS_PER_HR  \n",
       "1  04:00:00               4    05:00:00                 0.5               5.75  \n",
       "2  04:00:00               4    09:00:00               10.75              12.75  \n",
       "3  04:00:00               4    13:00:00               13.25                 15  \n",
       "4  04:00:00               4    17:00:00               16.25              15.75  \n",
       "5  04:00:00               4    21:00:00                 7.5                 11  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_df = pd.read_pickle('data/final_df.pkl')\n",
    "final_df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Wrangling\n",
    "Find Median values for hourly traffic over the whole data set and hourly traffic by day of the week"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "station_median_data_hourly = final_df.groupby(['STATION','TIME']).agg({'DIFF_ENTRIES':'median',\n",
    "                                                                      'DIFF_EXITS':'median',\n",
    "                                                                      'RIDERSHIP':'median'}).reset_index()\n",
    "\n",
    "station_median_data_daily_hourly = final_df.groupby(['STATION','TIME','DAY']).agg({'DIFF_ENTRIES':'median',\n",
    "                                                                                   'DIFF_EXITS':'median',\n",
    "                                                                                   'RIDERSHIP':'median'}).reset_index()\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Ploting median values for entries and exits broken down by time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
<<<<<<< HEAD
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\n",
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      "image/png": 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\n",
>>>>>>> 9a7b0428e2a718a5123a63cf041e4314b956c8fa
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
<<<<<<< HEAD
      "image/png": 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\n",
=======
      "image/png": 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\n",
>>>>>>> 9a7b0428e2a718a5123a63cf041e4314b956c8fa
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
<<<<<<< HEAD
      "image/png": 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\n",
=======
      "image/png": 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bcICkVSUNBzYBHqq9mmZm1lWVXCZ5HbAjMFhSK3AycCKwKnBnuk/xAxFxVEQ8JekGYCbZ0M2xnV1BY2Zm3aPTAB8RB5ZIvryD/D8FflpLpczMADhlrTqXt6jTLF29XfCYMWO49tprAbj22ms55phjaq9nnfhWBWZmBbp6u+Dbb78dgLlz53LRRRc1VID3rQrMzDqxaNEiNttsM5555hkADjzwQC699FIgu43wggULmDhxInPmzGHUqFEcf/zxzJ8/n9GjRzNq1ChGjBjB/fff3+P1dg/ezKxA8a0KTjzxRL7+9a8zefJkDjnkECZMmMDrr7/OEUccsdx6kyZN4sknn1zW+z/77LPZddddOemkk/jggw9455136GkO8GZmBcoN0Xz1q1/lxhtv5Nhjj+Wxxx7rtJytt96aww47jMWLF7P33nsv96bRUzxEY2ZWgaVLlzJr1iz69+/Pa6+91mn+0aNHc9999zF06FAOPvhgrrrqqh6o5fIc4M3MKnDuueey+eabc9111y3rmRcqvm3wiy++yLrrrssRRxzB+PHjmT59ek9X2UM0ZtbAKrissd5K3S74sMMO47LLLuOhhx5iwIABjB49mtNOO41TTz11Wb5Bgwax/fbbM2LECHbffXdGjBjBmWeeSd++fVljjTV6pQfvAG9mVuCDD0p/N3PWrFnLHp9zzjnLHs+dO3fZ4/br4duNGzeuvpXrIg/RmJnllAO8mVlOOcCbWUPp7FfmPoqq3ScO8GbWMPr168fChQsd5AtEBAsXLqRfv35dXteTrGbWMIYNG0Zrayv+EaDl9evXj2HDhnWesYgDvJk1jL59+zJ8+PDerkZuOMCbGc0T/1i3suZO2qNuZVltPAZvZpZTDvBmZjnlAG9mllMO8GZmOeVJVut2nsAz6x3uwZuZ5ZQDvJlZTjnAm5nllAO8mVlOdRrgJf1S0quSnixIGyjpTknPpf/rpHRJOl/SbEmPS9qqOytvZmblVdKD/xWwW1HaROCuiNgEuCs9B9gd2CT9HQn8oj7VNDOzruo0wEfEfUDxT4jvBVyZHl8J7F2QflVkHgDWlrR+vSprZmaVq3YMfr2ImA+Q/q+b0ocCLxfka01pK5B0pKRpkqb51qBmZvVX70lWlUgreef+iLgkIloiomXIkCF1roaZmVX7TdZXJK0fEfPTEMyrKb0V2LAg3zBgXi0VNDPrKn97OlNtD/42YFx6PA64tSD9m+lqmm2BRe1DOWZm1rM67cFLug7YERgsqRU4GZgE3CBpPPASsH/KfjswBpgNvAMc2g11NjOzCnQa4CPiwDKLdiqRN4Bja62UmZnVzt9kNTPLKQd4M7OccoA3M8spB3gzs5xygDczyykHeDOznHKANzPLKQd4M7OccoA3M8spB3gzs5xygDczyykHeDOznHKANzPLKQd4M7OccoA3M8spB3gzs5xygDczy6lqf3TbzOyj65S16ljWovqVVcQ9eDOznHKANzPLKQd4M7OccoA3M8spB3gzs5xygDczy6maAryk4yQ9JelJSddJ6idpuKQHJT0n6XpJq9SrsmZmVrmqA7ykocB3gJaIGAE0AQcAZwDnRsQmwOvA+HpU1MzMuqbWIZo+QH9JfYDVgPnAV4Cb0vIrgb1r3IaZmVWh6gAfEX8HzgJeIgvsi4BHgDciYknK1goMLbW+pCMlTZM0ra2trdpqmJlZGbUM0awD7AUMBzYAVgd2L5E1Sq0fEZdEREtEtAwZMqTaapiZWRm1DNHsDLwQEW0RsRi4BdgOWDsN2QAMA+bVWEczM6tCLQH+JWBbSatJErATMBO4B9gv5RkH3FpbFc3MrBq1jME/SDaZOh14IpV1CXAC8F1Js4FBwOV1qKeZmXVRTbcLjoiTgZOLkp8HtqmlXDMzq52/yWpmllMO8GZmOeUAb2aWUw7wZmY55QBvZpZTDvBmZjnlAG9mllMO8GZmOeUAb2aWUw7wZmY55QBvZpZTDvBmZjnlAG9mllMO8GZmOeUAb2aWUw7wZmY55QBvZpZTDvBmZjnlAG9mllMO8GZmOeUAb2aWUw7wZmY55QBvZpZTDvBmZjlVU4CXtLakmyQ9LWmWpC9KGijpTknPpf/r1KuyZmZWuT41rv9z4M8RsZ+kVYDVgB8Cd0XEJEkTgYnACTVux8xWVqesVceyFtWvrI+AqnvwktYERgOXA0TEvyLiDWAv4MqU7Upg71oraWZmXVfLEM1GQBtwhaRHJV0maXVgvYiYD5D+r1tqZUlHSpomaVpbW1sN1TAzs1JqCfB9gK2AX0TE54B/kg3HVCQiLomIlohoGTJkSA3VMDOzUmoJ8K1Aa0Q8mJ7fRBbwX5G0PkD6/2ptVTQzs2pUHeAj4h/Ay5I2S0k7ATOB24BxKW0ccGtNNTQzs6rUehXNt4Fr0hU0zwOHkr1p3CBpPPASsH+N2zAzsyrUFOAjYgbQUmLRTrWUa2ZmtfM3Wc3McsoB3swspxzgzcxyygHezCynHODNzHLKAd7MLKcc4M3McsoB3swspxzgzcxyygHezCynHODNzHLKAd7MLKdqvZtk/vn3JM1sJeUevJlZTjnAm5nllAO8mVlOOcCbmeWUJ1nNGo0n9q1O3IM3M8spB3gzs5xygDczyykHeDOznHKANzPLKQd4M7OcqjnAS2qS9KikP6TnwyU9KOk5SddLWqX2apqZWVfVowc/AZhV8PwM4NyI2AR4HRhfh22YmVkX1RTgJQ0D9gAuS88FfAW4KWW5Eti7lm2YmVl1au3Bnwf8AFiang8C3oiIJel5KzC01IqSjpQ0TdK0tra2GqthZmbFqg7wkvYEXo2IRwqTS2SNUutHxCUR0RIRLUOGDKm2GmZmVkYt96LZHhgraQzQD1iTrEe/tqQ+qRc/DJhXezXNzKyrqg7wEXEicCKApB2B70fEQZJuBPYDfgOMA26tQz3Lap74x7qVNXfSHnUry8yst3XHdfAnAN+VNJtsTP7ybtiGmZl1oi63C46IqcDU9Ph5YJt6lGtmZtXzN1nNzHLKAd7MLKcc4M3McsoB3swspxzgzcxyygHezCyn6nKZpFmvOmWtOpa1qH5lmfUy9+DNzHLKAd7MLKcc4M3McsoB3swspxzgzcxyygHezCynHODNzHLKAd7MLKcc4M3McsoB3swspxzgzcxyygHezCynHODNzHLKAd7MLKcc4M3McsoB3swspxzgzcxyquoAL2lDSfdImiXpKUkTUvpASXdKei79X6d+1TUzs0rV0oNfAnwvIjYHtgWOlbQFMBG4KyI2Ae5Kz83MrIdVHeAjYn5ETE+P3wJmAUOBvYArU7Yrgb1rraSZmXVdXcbgJTUDnwMeBNaLiPmQvQkA65ZZ50hJ0yRNa2trq0c1zMysQM0BXtIawM3Af0TEm5WuFxGXRERLRLQMGTKk1mqYmVmRmgK8pL5kwf2aiLglJb8iaf20fH3g1dqqaGZm1ajlKhoBlwOzIuKcgkW3AePS43HArdVXz8zMqtWnhnW3Bw4GnpA0I6X9EJgE3CBpPPASsH9tVTQzs2pUHeAj4q+AyizeqdpyzcysPvxNVjOznHKANzPLKQd4M7OccoA3M8upWq6isZXVKWvVsaxF9SvLzOrKPXgzs5xygDczyykHeDOznHKANzPLKQd4M7OccoA3M8spB3gzs5xygDczyykHeDOznPI3WRtQ88Q/1q2suZP2qFtZZrZycQ/ezCynHODNzHLKAd7MLKcc4M3McsoB3swspxzgzcxyygHezCynHODNzHLKAd7MLKe6LcBL2k3SM5JmS5rYXdsxM7PSuiXAS2oCLgR2B7YADpS0RXdsy8zMSuuuHvw2wOyIeD4i/gX8Btirm7ZlZmYlKCLqX6i0H7BbRByenh8MfCEivlWQ50jgyPR0M+CZLm5mMLCgDtVtFHlqT57aAvlqT57aAvlqTzVt+WREDCm3sLvuJqkSacu9k0TEJcAlVW9AmhYRLdWu32jy1J48tQXy1Z48tQXy1Z7uaEt3DdG0AhsWPB8GzOumbZmZWQndFeAfBjaRNFzSKsABwG3dtC0zMyuhW4ZoImKJpG8BfwGagF9GxFN13kzVwzsNKk/tyVNbIF/tyVNbIF/tqXtbumWS1czMep+/yWpmllMO8GZmOdUQAV7ShpLukTRL0lOSJqT0gZLulPRc+r9OmfXHpTzPSRpXkP55SU+k2yWcL6nU5Zvd0Z4VbtOQJpwfTHW8Pk0+l1r3xLTeM5J27ajMntLRtiVdIOntDtZtqPaUOTY7SZouaYakv0raeCVpyy8lvSrpyYK0MyU9LelxSb+VtHaZdUvWudLztDuUak9K/3aq61OSflZm3YZqT8PEtIjo9T9gfWCr9HgA8CzZLQ5+BkxM6ROBM0qsOxB4Pv1fJz1eJy17CPgi2XX5fwJ274G2NAFzgI2AVYDHUltuAA5IeS4Gji6x7hYp/6rA8FROU7kye+jYlN020AL8Gni7zLoN1Z4Ojs2zwOYpzzHArxq9LalOo4GtgCcL0nYB+qTHZ5R5zXR0TDs9T3u4PV8GpgCrpufrrgztoUFiWkP04CNifkRMT4/fAmYBQ8lub3BlynYlsHeJ1XcF7oyI1yLideBOYDdJ6wNrRsTfItszV5VZv97K3abhK8BNKU+5tuwF/CYi3o+IF4DZqbzevPVDyW0ru9/QmcAPOli30dpTbrsBrJnyrEXp72w0WluIiPuA14rS7oiIJenpA2TfQSlW7piKys7TblGqPcDRwKSIeD/lebXEqg3XnkaJaQ0R4AtJagY+BzwIrBcR8yHbYcC6KU+LpMvSKkOBlwuKaE1pQ9Pj4vTuVq4+bxS88JbVRdJYST/uZN1y6T2h3La/BdzWfnzaNXh7ym33cOB2Sa3AwcAkaPi2VOIwsl4ekjaQdHtKL1fnQZQ5T3vRpsAOaZjlXklbw8rVnt6Mad11q4KqSFoDuBn4j4h4s9zwUkRMI3tRQvnbInR6u4RuUmq7TSXSAiAibuPDL4GVq3OpN+Keur61VJ1WBfYHdixe0ODtKVef44AxEfGgpOOBc4DDG7wtHZJ0ErAEuAYgIuYBY9oXl1ilN18zHelDNkyxLbA1cIOkjVaW9vR2TGuYHrykvmQ74pqIuCUlv5I+lpD+l/p4Vu62CK0s//G0p26XUKo+LwFrS+pTkFaqLh21pbdu/VBq23OBjYHZkuYCq0maXeG6vdmeUtt9FfhsRDyY0q4Htqtw3d4+NiWlSbk9gYPSR/li5eq8gMrO057UCtwSmYeApWQ35SrO03DtaYiY1hMTDhVMSIhsPOm8ovQzWX5C4mdlJiReIHuXXyc9HpiWPUz2zt8+ITGmB9rSh2xSZDgfTvhsCdzI8pM9x5RYd0uWn8h7nqz3X7LMHjo2nW6b8pOsDdWeMtv9LFkg2DTlGQ/c3OhtKahXM8tPSu4GzASGVHNMKzlPe7g9RwE/To83JRu6UKO3hwaJaT124DrZGV8i+6jxODAj/Y0hG0O7C3gu/W9vZAtwWcH6h5FNes0GDi1IbwGeJJthn1x8YnRje8aQzZrPAU5KaRuRzYDPTidd+1UBY9tP4PT8pLTeMxTMkJcqswePT4fbpiDAN3p7yhyb/ws8kQLDVGCjlaQt1wHzgcVkvbvx6fx6ueB1dHHKuwFwe2d1Lnee9mJ7VgGuTq/j6cBXVob20CAxzbcqMDPLqYYZgzczs/pygDczyykHeDOznHKANzPLKQd4M7OccoC3lYKkQelujzMk/UPS3wue/28P1+W6dLfG44rSTymo13OSbpG0RU/WzaxQQ92qwKyciFgIjIIskJJde39WT9dD0seB7SLik2WynNteL0lfB+6WNDIi2nqskmaJe/C20lO6H72kHdMNqW6Q9KykSZIOkvRQuof2p1K+IZJulvRw+tu+RJn9JF2R1ntU0pfTojuAdVMvfYeO6hUR16f8/57K/K+0vSclXaLMpyRNL9juJpIeqc+esY86B3jLm88CE4CRZHeG3DQitgEuA76d8vycrKe9NbBvWlbsWICIGAkcCFwpqR/Zt1vnRMSoiLi/gvpMBz6dHk+OiK0jYgTQH9gzIuYAiySNSnkOBX7VlQableMAb3nzcGT34n6f7Ovcd6T0J4PLIl4AAAE7SURBVMjucwKwMzBZ0gyyu0WuKWlAUTlfIvsxEyLiaeBFsnuhdFXhHQC/nG57+wTZfcq3TOmXAYeme+x/Hbi2iu2YrcBj8JY37xc8XlrwfCkfnu8fA74YEe92UE69ft7xc8C01Pu/CGiJiJfTPEK/lOdm4GTgbuCRNN9gVjP34O2j6A6yHywBoGB4pNB9wEFp+abAJ8huMlYxSfuS/YTedXwYzBeke4Tv154vIt4D/gL8AriiK9sw64gDvH0UfQdoSZc6ziS7JW2xi4CmNJxyPXBIGvbpzHHtl0kC3yC7+2FbRLwBXEo2VPQ7stu+FrqG7O6Dd2BWJ76bpFkDkPR9YK2I+FFv18Xyw2PwZr1M0m+BT5FNvJrVjXvwZmY55TF4M7OccoA3M8spB3gzs5xygDczyykHeDOznPr/5MJ8kDJwTEkAAAAASUVORK5CYII=\n",
>>>>>>> 9a7b0428e2a718a5123a63cf041e4314b956c8fa
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
<<<<<<< HEAD
      "image/png": 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6ivHjx3PggQeyceNGRo8ezXXXXceVV17J/fffT11dHcOHD+foo4+uWnvMbPuiiOjuGBg1alQU/+HHkiVL2H///bspotrmbdO9fJmk1coevKT5ETGq3HRfRWNmllNO8GZmOeUEb2aWU07wZmY51WaCl9RH0kOSHpW0SNLFqXySpBclLUiPMQXLXCRpqaQnJR3ZlQ0wM7PSKrlM8i3g7yPiVUm9gN9L+u807YqIuLRwZknDgbHAAcBewExJ74uITdUM3MzMWtdmgo/sOspX02iv9Gjt2srjgNsi4i3gWUlLgYOBuZ2KtJqXJUFFlya193bBY8aM4dZbbwXg1ltv5ctf/nLn4zQz66CKfugkqQ6YD7wXuCYiHpR0NHCupC8C84ALImINMBj4Y8HiTamsuM6zgbMB9t577041oqu093bB99xzDwDLli3j2muvdYI3s25V0UnWiNgUEY3AEOBgSSOAHwDvARqBFUDL7RJL/afcVnv8EXF9RIyKiFH19fUdCr47rF27lve///08+eSTAJx88snccMMNQHYb4ZdeeomJEyfyzDPP0NjYyIUXXsiKFSsYPXo0jY2NjBgxgt/97nfd2QQz206061YFEfGKpNnAUYV975JuAH6ZRpuAoQWLDQGWdzLOblF8q4KLLrqIz3/+80ydOpXTTjuNCRMmsGbNGs4666x3LDdlyhQef/zxLXv/l112GUceeSRf//rX2bRpE6+//vo2bYeZbZ/aTPCS6oENKbn3BQ4H/kPSoIhYkWb7LPB4Gp4B3CrpcrKTrMOAh6ofetcr10XzqU99ijvuuIPx48fz6KOPtlnPhz/8YU4//XQ2bNjA8ccf/44vDbNaUM3bL/jWC7Wjki6aQcD9khYCDwP3RcQvge9JeiyV/x1wPkBELAKmA4uBe4HxebuCZvPmzSxZsoS+ffvy8ssvtzn/6NGjmTNnDoMHD+bUU0/lJz/5yTaI0sy2d5VcRbMQ+GCJ8lNbWWYyMLlzodWuK664gv3335/vfOc7nH766cydO5devXptmd6vXz/Wr1+/Zfy5555j8ODBnHXWWbz22ms88sgjfPGLX+yO0M1sO9JjbhfclfdMLqfU7YJPP/10fvjDH/LQQw/Rr18/Ro8ezbe//W0uvvjiLfMNGDCAQw89lBEjRnD00UczYsQIvv/979OrVy923nln78Gb2TbRcxJ8N9i0qXTP0pIlS7YMX3755VuGly1btmW45Xr4FuPGjatucGZmbfC9aMzMcsoJ3swsp2o6wdfCv03VGm8TM6tUzSb4Pn36sHr1aie0AhHB6tWr6dOnT3eHYmY9QM2eZB0yZAhNTU00Nzd3dyg1pU+fPgwZMqS7wzCzHqBmE3yvXr3Yd999uzsMM7Meq2a7aMzMrHOc4M3McsoJ3swsp5zgzcxyygnezCynnODNzHLKCd7MLKec4M3McsoJ3swsp5zgzcxyqs0EL6mPpIckPSppkaSLU3l/SfdJejo9716wzEWSlkp6UtKRXdkAMzMrrZI9+LeAv4+IDwCNwFGSDgEmArMiYhgwK40jaTgwFjgAOAq4VlJdVwRvZmbltZngI/NqGu2VHgEcB0xL5dOA49PwccBtEfFWRDwLLAUOrmrUZmbWpor64CXVSVoArALui4gHgT0jYgVAet4jzT4YeKFg8aZUVlzn2ZLmSZrnWwKbmVVfRQk+IjZFRCMwBDhY0ohWZlepKkrUeX1EjIqIUfX19ZVFa2ZmFWvXVTQR8Qowm6xvfaWkQQDpeVWarQkYWrDYEGB5pyM1M7N2qeQqmnpJu6XhvsDhwBPADGBcmm0ccFcangGMldRb0r7AMOChagduZmatq+QfnQYB09KVMO8CpkfELyXNBaZLOgN4HjgJICIWSZoOLAY2AuMjYlPXhG9mtrWGib+qWl3LphxTtbq2tTYTfEQsBD5Yonw18Mkyy0wGJnc6OjMz6zD/ktXMLKdq9k+3LT98uGzWPbwHb2aWU07wZmY55QRvZpZTTvBmZjnlBG9mllNO8GZmOeUEb2aWU07wZmY55QRvZpZTTvBmZjnlBG9mllNO8GZmOeWbjZlZ15u0axXrWlu9unLOe/BmZjnlBG9mllNO8GZmOeUEb2aWU20meElDJd0vaYmkRZImpPJJkl6UtCA9xhQsc5GkpZKelHRkVzbAzMxKq+Qqmo3ABRHxiKR+wHxJ96VpV0TEpYUzSxoOjAUOAPYCZkp6X0RsqmbgZmbWujb34CNiRUQ8kobXA0uAwa0schxwW0S8FRHPAkuBg6sRrJmZVa5dffCSGoAPAg+monMlLZR0k6TdU9lg4IWCxZoo8YUg6WxJ8yTNa25ubnfgZmbWuooTvKSdgTuBf4mIdcAPgPcAjcAK4LKWWUssHlsVRFwfEaMiYlR9fX27Azczs9ZVlOAl9SJL7rdExM8BImJlRGyKiM3ADbzdDdMEDC1YfAiwvHohm5lZJSq5ikbAjcCSiLi8oHxQwWyfBR5PwzOAsZJ6S9oXGAY8VL2QzcysEpVcRXMocCrwmKQFqexrwMmSGsm6X5YB/wwQEYskTQcWk12BM95X0JiZbXttJviI+D2l+9XvaWWZycDkTsRlZmad5F+ympnllBO8mVlOOcGbmeWUE7yZWU45wZuZ5ZQTvJlZTjnBm5nllBO8mVlOOcGbmeWUE7yZWU45wZuZ5ZQTvJlZTjnBm5nllBO8mVlOOcGbmeWUE7yZWU45wZuZ5ZQTvJlZTlXyp9tDJd0vaYmkRZImpPL+ku6T9HR63r1gmYskLZX0pKQju7IBZmZWWiV78BuBCyJif+AQYLyk4cBEYFZEDANmpXHStLHAAcBRwLWS6roieDMzK6/NBB8RKyLikTS8HlgCDAaOA6al2aYBx6fh44DbIuKtiHgWWAocXO3Azcysde3qg5fUAHwQeBDYMyJWQPYlAOyRZhsMvFCwWFMqK67rbEnzJM1rbm5uf+RmZtaqihO8pJ2BO4F/iYh1rc1aoiy2Koi4PiJGRcSo+vr6SsMwM7MKVZTgJfUiS+63RMTPU/FKSYPS9EHAqlTeBAwtWHwIsLw64ZqZWaUquYpGwI3Akoi4vGDSDGBcGh4H3FVQPlZSb0n7AsOAh6oXspmZVWKHCuY5FDgVeEzSglT2NWAKMF3SGcDzwEkAEbFI0nRgMdkVOOMjYlPVIzczs1a1meAj4veU7lcH+GSZZSYDkzsRl5mZdZJ/yWpmllNO8GZmOeUEb2aWU07wZmY55QRvZpZTTvBmZjnlBG9mllOV/NBp+zZp1yrWtbZ6dZmZtcF78GZmOeUEb2aWU07wZmY55T54s1rj8z5WJd6DNzPLKSd4M7OccoI3M8spJ3gzs5xygjczyykneDOznKrkT7dvkrRK0uMFZZMkvShpQXqMKZh2kaSlkp6UdGRXBW5mZq2rZA/+x8BRJcqviIjG9LgHQNJwYCxwQFrmWkl11QrWzMwq12aCj4g5wMsV1ncccFtEvBURzwJLgYM7EZ+ZmXVQZ/rgz5W0MHXh7J7KBgMvFMzTlMrMzGwb62iC/wHwHqARWAFclspVYt4oVYGksyXNkzSvubm5g2GYmVk5HUrwEbEyIjZFxGbgBt7uhmkChhbMOgRYXqaO6yNiVESMqq+v70gYZmbWig4leEmDCkY/C7RcYTMDGCupt6R9gWHAQ50L0czMOqLNu0lK+hlwGDBQUhPwTeAwSY1k3S/LgH8GiIhFkqYDi4GNwPiI2NQ1oZuZWWvaTPARcXKJ4htbmX8yMLkzQZmZWef5l6xmZjnlBG9mllNO8GZmOeUEb2aWU07wZmY55QRvZpZTTvBmZjnlBG9mllNO8GZmOeUEb2aWU07wZmY55QRvZpZTTvBmZjnlBG9mllNO8GZmOeUEb2aWU07wZmY55QRvZpZTTvBmZjlVyZ9u3wR8GlgVESNSWX/gdqCB7E+3PxcRa9K0i4AzgE3AeRHx6y6J3KzFpF2rWNfa6tVl1s0q2YP/MXBUUdlEYFZEDANmpXEkDQfGAgekZa6VVFe1aM3MrGJtJviImAO8XFR8HDAtDU8Dji8ovy0i3oqIZ4GlwMFVitXMzNqho33we0bECoD0vEcqHwy8UDBfUyrbiqSzJc2TNK+5ubmDYZiZWTnVPsmqEmVRasaIuD4iRkXEqPr6+iqHYWZmHU3wKyUNAkjPq1J5EzC0YL4hwPKOh2dmZh3V0QQ/AxiXhscBdxWUj5XUW9K+wDDgoc6FaGZmHVHJZZI/Aw4DBkpqAr4JTAGmSzoDeB44CSAiFkmaDiwGNgLjI2JTF8VuZmataDPBR8TJZSZ9ssz8k4HJnQnKzMw6z79kNTPLKSd4M7OccoI3M8spJ3gzs5xygjczyykneDOznHKCNzPLKSd4M7OccoI3M8spJ3gzs5xygjczyykneDOznGrzZmM9QcPEX1WtrmVTjqlaXWZm3cl78GZmOeUEb2aWU07wZmY55QRvZpZTTvBmZjnVqatoJC0D1gObgI0RMUpSf+B2oAFYBnwuItZ0LkwzM2uvauzB/11ENEbEqDQ+EZgVEcOAWWnczMy2sa7oojkOmJaGpwHHd8E6zMysDZ1N8AH8RtJ8SWensj0jYgVAet6j1IKSzpY0T9K85ubmToZhZmbFOvtL1kMjYrmkPYD7JD1R6YIRcT1wPcCoUaOik3GYmVmRTu3BR8Ty9LwK+C/gYGClpEEA6XlVZ4M0M7P263CCl7STpH4tw8ARwOPADGBcmm0ccFdngzQzs/brTBfNnsB/SWqp59aIuFfSw8B0SWcAzwMndT5MMzNrrw4n+Ij4M/CBEuWrgU92JigzM+s8/5LVzCynnODNzHLKCd7MLKec4M3McsoJ3swsp5zgzcxyygnezCynnODNzHKqszcbs55o0q5VrGtt9eoys6ryHryZWU45wZuZ5ZQTvJlZTjnBm5nllBO8mVlOOcGbmeWUE7yZWU75Ovga1DDxV1Wra9mUY6pWl5n1LN6DNzPLKSd4M7Oc6rIEL+koSU9KWippYletx8zMSuuSBC+pDrgGOBoYDpwsaXhXrMvMzErrqj34g4GlEfHniPgrcBtwXBety8zMSlBEVL9S6UTgqIg4M42fCnwkIs4tmOds4Ow0+n7gyXauZiDwUhXCrRV5ak+e2gL5ak+e2gL5ak9H2rJPRNSXm9hVl0mqRNk7vkki4nrg+g6vQJoXEaM6unytyVN78tQWyFd78tQWyFd7uqItXdVF0wQMLRgfAizvonWZmVkJXZXgHwaGSdpX0o7AWGBGF63LzMxK6JIumojYKOlc4NdAHXBTRCyq8mo63L1To/LUnjy1BfLVnjy1BfLVnqq3pUtOspqZWffzL1nNzHLKCd7MLKdqIsFLGirpfklLJC2SNCGVn5TGN0sqe/lQudsiSOov6T5JT6fn3bdRe7aKJ2dtmSTpRUkL0mNMT2hLK+35gKS5kh6TdLekXXpCeyTdJGmVpMcLyi6RtDC9Lr+RtFdPaEtad6n23F7wPlsmaUGZZWuqPTWT0yKi2x/AIOCgNNwPeIrsFgf7k/0IajYwqsyydcAzwN8AOwKPAsPTtO8BE9PwROA/tkFbSsaTs7ZMAv61I8t2V1vaaM/DwN+meU4HLukh7RkNHAQ8XlC2S8HwecB1PaEt5dpTNP0y4Bs9oT3USE6riT34iFgREY+k4fXAEmBwRCyJiLZ+4drabRGOA6al4WnA8dWPvrJ48tSWKizbHW1pLab3A3PSPPcB/9COZaGb2hMRc4CXi8rWFYzuRNEPDJOaawuUbk8LSQI+B/ysxOSaa0+t5LSaSPCFJDUAHwQebGWevSTdk0YHAy8UTG5KZQB7RsQKyDY4sEe14y2htXi20oPbcm7qCrip5TCxxtvSWkyPA8emspNIP9LrAe0pSdJkSS8ApwDfSGU9si0FPgGsjIinoWe1pztzWk0leEk7A3cC/1K0J/IOEbE8Ilr6fdu8LcI21q54emhbfgC8B2gEVpAdOtd6W6B8TKcD4yXNJzuc/iv0iPaUFBFfj4ihwC3AuamsR7alwMkU7L33lPZ0d06rmQQvqRfZhrglIn7ejkVbuy3CSkmDUv2DgFXViLUT8XRm2ZppS0SsjIhNEbEZuIHskLKiZdNwdxyYO3IAAAO8SURBVLSlbEwR8UREHBERHyJLIs9Uumwa7q72tOVWSnc39ai2SNoBOAG4vcwsNdmeWshpNZHgU//ajcCSiLi8nYu3dluEGcC4NDwOuKsa8XYins4sWzNtaXmDJZ8l6+KoaNk0rTvaUjYmSXsASHoX8O/AdZUum6Z1V3u2ImlYweixwBMlZusRbSlwOPBERDSVmV5z7amZnLYtzihXcMb542SHIAuBBekxhix5NAFvASuBX6f59wLuKVh+DNlZ6meArxeUDwBmAU+n5/7bqD1bxZOztvwUeCy9XjOAQT2hLa20Z0IqewqYwtu/8K7p9pAdbawANqT31hlke4yPp9fmbrITezXflnLtSeU/Bs4pmrem20ON5DTfqsDMLKdqoovGzMyqzwnezCynnODNzHLKCd7MLKec4M3McsoJ3noMSQMK7iz4F719R8tXJV27DeOol/SgpD9J+kTRtNnpLoALJT0haaqk3bZVbGaFuuQv+8y6QkSsJrs9ApImAa9GxKXdEMonyX54M67M9FMiYl76kcp3yX6M8rfbLDqzxHvw1uNJOkzSL9PwJEnTlN0LfZmkEyR9T9m93u9NPx9H0ockPSBpvqRfF/06t6XefSTNSnvjsyTtLamR7JatY9LRQ99ycUV2J8B/A/aW9IFU5y/SOhdJOjuVnSHpioL1niWpvb9+NNuKE7zl0XuAY8hurXozcH9EjATeAI5JSf5q4MTI7j9zEzC5RD1TgZ9ExIFkN+66KiIWkN2h8faIaIyIN1oLJCI2kd3Pe79UdHpa5yjgPEkDyG4He2zLlw/wT8CPOth2sy3cRWN59N8RsUHSY2R/nnBvKn8MaCC7//sI4L7sliHUkf1EvthHyW5yBdntGb7XwXgK7w54nqTPpuGhwLCI+KOk3wKflrQE6BURj3VwXWZbOMFbHr0FEBGbJW2It+/HsZnsPS9gUUR8tJ31tvu+HpLqgJHAEkmHkd0466MR8bqk2UCfNOsPga+R3RzMe+9WFe6ise3Rk0C9pI9CdltXSQeUmO8PZHfyg+zPM37fnpWkLpfvAi9ExEJgV2BNSu77AYe0zBsRD5Lt0X+B0v9aZNZu3oO37U5E/FXSicBVknYl+xxcCSwqmvU84CZJFwLNZH3jlbhF0ltAb2Amb//d2r3AOZIWkn3J/LFouelAY0SsaW+bzErx3STNakS6EuiKiJjV3bFYPriLxqybSdpN0lPAG07uVk3egzczyynvwZuZ5ZQTvJlZTjnBm5nllBO8mVlOOcGbmeXU/wdiJfVScBEATAAAAABJRU5ErkJggg==\n",
=======
      "image/png": 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YmRWUA7yZWUE5wJuZFZQDvJlZQbUa4CX1lPSwpD9JelLS2Sn9akkvSJqTHiNTuiRdLGm+pMcl7d7ZjTAzsw1Vc5nku8B+EfGmpB7Ag5J+m5adHhG/KMk/DhiSHnsBl6RnMzPrQq0G+Miuo3wzzfZIj5aurTwEuDat9wdJfSQNjIjFHappLS9LgqouTWrr7YLHjx/P9ddfD8D111/PV7/61Y7X08ysnaoag5fUIGkO8BpwV0T8MS06Nw3DXChpy5Q2CHg5t3pTSistc6KkWZJmLVmypANN6DzN96JpfrR2H/cZM2bQp08fli9fzk9+8pMuqqWZWXlVBfiIWBsRI4HBwJ6ShgNnArsAewB9gTNS9nL/KbdBjz8iLouIURExasCAAe2qfHdYsWIFH//4x3nmmWcAOProo7n88suB7DbCr7/+OlOmTGHBggWMHDmS008/ncWLFzNmzBhGjhzJ8OHDeeCBB7qzCWa2iWjTrQoiYrmkmcDYiDgvJb8r6afAt9J8E7BjbrXBwKKOVrQ7lN6q4Mwzz+TII49k2rRpHHvssUyePJlly5Zx0kknvW+9qVOnMnfu3PV3ojz//PM58MAD+fa3v83atWt5++23u7QdZrZpajXASxoArE7BvRfweeA/msfVlf0L9KHA3LTKdOBUSTeSnVxd0eHx925S6XbB+++/P7fccguTJk3iT3/6U6vl7LHHHhx//PGsXr2aQw899H0fGmb1wLdfKKZqhmgGAvdKehx4hGwM/tfAdZKeAJ4A+gPnpPwzgOeB+cDlQOHONK5bt4558+bRq1cv3njjjVbzjxkzhvvvv59BgwZxzDHHcO2113ZBLc1sU1fNVTSPA7uVSd+vQv4AJnW8avXrwgsvZOjQofzgBz/g+OOP56GHHqJHjx7rl/fu3ZtVq1atn3/xxRcZNGgQJ510Em+99RazZ8/my1/+cndU3cw2IRvN7YI7857JlZS7XfDxxx/PFVdcwcMPP0zv3r0ZM2YM55xzDmefffb6fP369WP06NEMHz6ccePGMXz4cH74wx/So0cPtt56a/fgzaxLbDwBvhusXbu2bPq8efPWT19wwQXrpxcuXLh+uvl6+GYTJkyobeXMzFrhe9GYmRWUA7yZWUHVdYCvh3+bqjfeJ2ZWrboN8D179mTp0qUOaDkRwdKlS+nZs2d3V8XMNgJ1e5J18ODBNDU1Ua/3qekuPXv2ZPDgwd1dDTPbCNRtgO/Rowc77bRTd1fDzGyjVbdDNGZm1jEO8GZmBeUAb2ZWUA7wZmYF5QBvZlZQDvBmZgXlAG9mVlAO8GZmBeUAb2ZWUA7wZmYF1WqAl9RT0sOS/iTpSUlnp/SdJP1R0nOSbpK0RUrfMs3PT8sbO7cJZmZWTjU9+HeB/SLik8BIYKykvYH/AC6MiCHAMuCElP8EYFlEfBS4MOUzM7Mu1mqAj8ybabZHegSwH/CLlH4NcGiaPiTNk5Z/TpJqVmMzM6tKVWPwkhokzQFeA+4CFgDLI2JNytIEDErTg4CXAdLyFUC/MmVOlDRL0izfEtjMrPaqCvARsTYiRgKDgT2BoeWypedyvfUN/rUjIi6LiFERMWrAgAHV1tfMzKrUpqtoImI5MBPYG+gjqfl+8oOBRWm6CdgRIC3fBnijFpU1M7PqVXMVzQBJfdJ0L+DzwDzgXuDwlG0CcHuanp7mSct/H/7fPTOzLlfNPzoNBK6R1ED2gXBzRPxa0lPAjZLOAR4Drkz5rwR+Jmk+Wc/9qE6ot5lZRY1TflOzshZOPahmZXW1VgN8RDwO7FYm/Xmy8fjS9HeAI2pSOzMzazf/ktXMrKDq9k+3rTj8ddmse7gHb2ZWUA7wZmYF5QBvZlZQDvBmZgXlAG9mVlAO8GZmBeUAb2ZWUA7wZmYF5QBvZlZQDvBmZgXlAG9mVlAO8GZmBeWbjZlZ5zprmxqWtaJ2ZW0C3IM3MysoB3gzs4JygDczKygHeDOzgmo1wEvaUdK9kuZJelLS5JR+lqRXJM1Jj/G5dc6UNF/SM5IO7MwGmJlZedVcRbMG+GZEzJbUG3hU0l1p2YURcV4+s6RhwFHArsAOwN2SPhYRa2tZcTMza1mrPfiIWBwRs9P0KmAeMKiFVQ4BboyIdyPiBWA+sGctKmtmZtVr0xi8pEZgN+CPKelUSY9LukrStiltEPBybrUmynwgSJooaZakWUuWLGlzxc3MrGVVB3hJWwO3Al+PiJXAJcDOwEhgMXB+c9Yyq8cGCRGXRcSoiBg1YMCANlfczMxaVlWAl9SDLLhfFxG3AUTEqxGxNiLWAZfz3jBME7BjbvXBwKLaVdnMzKpRzVU0Aq4E5kXEBbn0gbls/wDMTdPTgaMkbSlpJ2AI8HDtqmxmZtWo5iqa0cAxwBOS5qS0fwGOljSSbPhlIfAVgIh4UtLNwFNkV+BM8hU0ZmZdr9UAHxEPUn5cfUYL65wLnNuBepmZWQf5l6xmZgXlAG9mVlAO8GZmBeUAb2ZWUA7wZmYF5QBvZlZQDvBmZgXlAG9mVlAO8GZmBeUAb2ZWUA7wZmYF5QBvZlZQDvBmZgXlAG9mVlAO8GZmBeUAb2ZWUA7wZmYF5QBvZlZQ1fzp9o6S7pU0T9KTkian9L6S7pL0XHreNqVL0sWS5kt6XNLund0IMzPbUDU9+DXANyNiKLA3MEnSMGAKcE9EDAHuSfMA44Ah6TERuKTmtTYzs1a1GuAjYnFEzE7Tq4B5wCDgEOCalO0a4NA0fQhwbWT+APSRNLDmNTczsxa1aQxeUiOwG/BHYPuIWAzZhwCwXco2CHg5t1pTSista6KkWZJmLVmypO01NzOzFlUd4CVtDdwKfD0iVraUtUxabJAQcVlEjIqIUQMGDKi2GmZmVqWqArykHmTB/bqIuC0lv9o89JKeX0vpTcCOudUHA4tqU10zM6tWNVfRCLgSmBcRF+QWTQcmpOkJwO259C+nq2n2BlY0D+WYmVnX2byKPKOBY4AnJM1Jaf8CTAVulnQC8BJwRFo2AxgPzAfeBo6raY3NzKwqrQb4iHiQ8uPqAJ8rkz+ASR2sl5mZdZB/yWpmVlAO8GZmBeUAb2ZWUA7wZmYF5QBvZlZQDvBmZgXlAG9mVlDV/NBp03bWNjUsa0XtyjIza4V78GZmBeUAb2ZWUA7wZmYF5TF4s3rj8z5WI+7Bm5kVlAO8mVlBOcCbmRWUA7yZWUE5wJuZFZQDvJlZQVXzp9tXSXpN0txc2lmSXpE0Jz3G55adKWm+pGckHdhZFTczs5ZV04O/GhhbJv3CiBiZHjMAJA0DjgJ2Tev8RFJDrSprZmbVazXAR8T9wBtVlncIcGNEvBsRLwDzgT07UD8zM2unjozBnyrp8TSEs21KGwS8nMvTlNLMzKyLtTfAXwLsDIwEFgPnp3SVyRvlCpA0UdIsSbOWLFnSzmqYmVkl7QrwEfFqRKyNiHXA5bw3DNME7JjLOhhYVKGMyyJiVESMGjBgQHuqYWZmLWhXgJc0MDf7D0DzFTbTgaMkbSlpJ2AI8HDHqmhmZu3R6t0kJd0A7Av0l9QEfA/YV9JIsuGXhcBXACLiSUk3A08Ba4BJEbG2c6puZmYtaTXAR8TRZZKvbCH/ucC5HamUmZl1nH/JamZWUA7wZmYF5QBvZlZQDvBmZgXlAG9mVlAO8GZmBeUAb2ZWUA7wZmYF5QBvZlZQDvBmZgXlAG9mVlAO8GZmBeUAb2ZWUA7wZmYF5QBvZlZQDvBmZgXlAG9mVlAO8GZmBeUAb2ZWUNX86fZVwN8Dr0XE8JTWF7gJaCT70+0vRsQySQL+ExgPvA0cGxGzO6fqZslZ29SwrBW1K8usm1XTg78aGFuSNgW4JyKGAPekeYBxwJD0mAhcUptqmplZW7Ua4CPifuCNkuRDgGvS9DXAobn0ayPzB6CPpIG1qqyZmVWvvWPw20fEYoD0vF1KHwS8nMvXlNI2IGmipFmSZi1ZsqSd1TAzs0pqfZJVZdKiXMaIuCwiRkXEqAEDBtS4GmZm1t4A/2rz0Et6fi2lNwE75vINBha1v3pmZtZe7Q3w04EJaXoCcHsu/cvK7A2saB7KMTOzrlXNZZI3APsC/SU1Ad8DpgI3SzoBeAk4ImWfQXaJ5HyyyySP64Q6m5lZFVoN8BFxdIVFnyuTN4BJHa2UmZl1nH/JamZWUA7wZmYF5QBvZlZQDvBmZgXlAG9mVlAO8GZmBeUAb2ZWUA7wZmYF5QBvZlZQDvBmZgXlAG9mVlAO8GZmBdXqzcbqXeOU39SsrIVTD6pZWWZm3c09eDOzgnKANzMrKAd4M7OCcoA3MysoB3gzs4Lq0FU0khYCq4C1wJqIGCWpL3AT0AgsBL4YEcs6Vk0zM2urWvTgPxsRIyNiVJqfAtwTEUOAe9K8mZl1sc4YojkEuCZNXwMc2gnbMDOzVnQ0wAdwp6RHJU1MadtHxGKA9LxduRUlTZQ0S9KsJUuWdLAaZmZWqqO/ZB0dEYskbQfcJenpaleMiMuAywBGjRoVHayHmZmV6FAPPiIWpefXgF8CewKvShoIkJ5f62glzcys7dod4CVtJal38zRwADAXmA5MSNkmALd3tJJmZtZ2HRmi2R74paTmcq6PiN9JegS4WdIJwEvAER2vppmZtVW7A3xEPA98skz6UuBzHamUmZl1nH/JamZWUA7wZmYF5QBvZlZQDvBmZgXlAG9mVlAO8GZmBeUAb2ZWUA7wZmYF1dGbjdnG6KxtaljWitqVZWY15R68mVlBOcCbmRWUA7yZWUE5wJuZFZQDvJlZQTnAm5kVlAO8mVlB+Tr4OtQ45Tc1K2vh1INqVpaZbVzcgzczKygHeDOzguq0AC9prKRnJM2XNKWztmNmZuV1SoCX1AD8GBgHDAOOljSsM7ZlZmbldVYPfk9gfkQ8HxF/BW4EDumkbZmZWRmKiNoXKh0OjI2IE9P8McBeEXFqLs9EYGKa/TjwTBs30x94vQbVrRdFak+R2gLFak+R2gLFak972vLhiBhQaWFnXSapMmnv+ySJiMuAy9q9AWlWRIxq7/r1pkjtKVJboFjtKVJboFjt6Yy2dNYQTROwY25+MLCok7ZlZmZldFaAfwQYImknSVsARwHTO2lbZmZWRqcM0UTEGkmnAv8NNABXRcSTNd5Mu4d36lSR2lOktkCx2lOktkCx2lPztnTKSVYzM+t+/iWrmVlBOcCbmRVUXQR4STtKulfSPElPSpqc0o9I8+skVbx8qNJtEdJJ3j9Kek7STemEb1e0Z4P6SDo1zYek/i2sOyHV9zlJE3Lpn5L0RCrjYknlLkXtFBXac7WkFyTNSY+RG0N7KrRlP0mzJc2VdI2ksuem6rAtV0l6TdLcXNr3JT2eXpM7Je2wMbQlbbtce27KHWMLJc2psG69xYD6iGkR0e0PYCCwe5ruDTxLdouDoWQ/gpoJjKqwbgOwAPgIsAXwJ2BYWnYzcFSavhQ4pQvaUrY+wG5AI7AQ6F9h3b7A8+l52zS9bVr2MPBpst8Y/BYY10WvTaX2XA0c3sq6ddWeFtryMvCxlOffgBPqvS1pu2OA3YG5ubQP5qa/Bly6MbSlUntKlp8PfLfa1zUt6/IYkLZVFzGtLnrwEbE4Iman6VXAPGBQRMyLiNZ+4Vr2tgip57Ef8IuU7xrg0M5pQev1iYjHImJhK+seCNwVEW9ExDLgLmCspIFkb9yHIntlr6Vr2gIdu+1EvbWnXFv+EXg3Ip5Nee5KaaXqrS1ExP3AGyVpK3OzW1HyA8Ok7toC5dvTLL2fvwjcUGZxvcWAuolpdRHg8yQ1kvV2/9hCnh0kzUizg8h6YM2aUlo/YHlErClJ72yV6lOWpFGSrmhl3UFpuqoya6yl9pybhgMulLQl1H17ytXnb4Aeua/Lh5N+pFfnbalI0rmSXga+BHw3pW2UbcnZB3g1Ip6Duo8B79OdMa2uArykrYFbga+X9ETeJyIWRcT45tXKZWkhvbO1absRMSvSPXtaWLe72kIL2z4T2AXYg+yr/hlQ9+0pt911ZD/Eu1DSw8AqYA3UfVsqiohvR8SOwHXAqSlto2xLztHkeu91HgPW6+6YVjcBXlIPsh1xXUTc1oZVK90W4XWgT+6EWVfdLqEjt2motG5Tmm5PmdxLskoAAAPoSURBVB1Vtk7pK2hExLvAT8m+Vla1Lt3XnkpteSgi9omIPYH7geeqXZfufW1acz3lh5s2qrak9/BhwE0VstRbDADqJKZ1xQmH1h5kn0zXAhdVWD6TyickNic7SbQT752Q2DUtu4X3n5D4ahe0pWJ90vKFtHyS9QWyE1/bpum+adkjwN68d/JrfBe9NmXbAwzMvXYXAVPrvT0ttGW7tHxL4B5gv3pvS65ejbz/JOuQ3PQ/A7/YWNpSrj0pbSxwX1tf17Ssy2NA2lZdxLQue+Fa2Rl/S/ZV43FgTnqMB/6B7NPsXeBV4L9T/h2AGbn1x5OdpV4AfDuX/hGyqwLmpx2zZRe1Z4P6kF3R0ET29X8RcEVKH9U8neaPT/WdDxyXSx8FzE1lTiP9Crkb2/N74IlUp58DW28M7anQlh+SnQR7huyrNBtJW24AFgOr07F1AlmPcW56L91BdmKv7ttSqT0p/Wrg5JK89R4D6iKm+VYFZmYFVTdj8GZmVlsO8GZmBeUAb2ZWUA7wZmYF5QBvZlZQDvC2UZDUL3dXwT9LeiU3/79dXJcb0i0aTitJPytXr+ck3SZpWFfWzSyvU/6yz6zWImIpMBKyQAq8GRHndXU9JP0N8JmI+HCFLBc210vSkcDvJY2IiCVdVkmzxD142+hJejM97yvpPkk3S3pW0lRJX5L0cLrH+c4p3wBJt0p6JD1Glymzp6SfpvUek/TZtOhOYLvUS9+npXpFxE0p//9JZX43bW+upMuU2VnS7Nx2h0h6tDZ7xjZ1DvBWNJ8EJgMjgGPI7vO+J3AF2U/3Af6TrKe9B9m9Wq4oU84kgIgYQXajq2sk9QQOBhZExMiIeKCK+swmuykbwLSI2CMihgO9gL+PiAXACr33hynHkf1y06zDHOCtaB6J7EZo75L9zPvOlP4E2X1OAD4PTFP270DTgQ9K6l1Szt8CPwOIiKeBF4GPtaM++TsAfjb9G88TZPf13jWlXwEcJ6kBOJLsJmFmHeYxeCuad3PT63Lz63jveN8M+HRE/KWFcmr1V3W7AbNS7/8nZDeYejmdR+iZ8twKfI/s/j6PpvMNZh3mHrxtiu4k3ScdQOX/T/Z+sj/MQNLHgA+R3YysapL+ETiA7CZazcH89XSP8MOb80XEO8B/A5eQ3XrZrCYc4G1T9DVgVLrU8Sng5DJ5fgI0pOGUm4Bj07BPa05rvkwS+CeyWw8viYjlwOVkQ0W/Irstb951ZHcfvBOzGvHdJM3qgKRvAdtExL92d12sODwGb9bNJP0S2JnsxKtZzbgHb2ZWUB6DNzMrKAd4M7OCcoA3MysoB3gzs4JygDczK6j/D1yxesYq6uZDAAAAAElFTkSuQmCC\n",
>>>>>>> 9a7b0428e2a718a5123a63cf041e4314b956c8fa
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "stations_to_plot = ['LIVONIA AV', 'EAST BROADWAY', 'JUNIUS ST', '103 ST']\n",
    "plain_station_names = ['Livonia Avenue', 'East Broadway', 'Junius Street', '103rd Street']\n",
    "\n",
    "for station, plain_station in zip(stations_to_plot, plain_station_names):\n",
    "    filtered_df = station_median_data_hourly[station_median_data_hourly['STATION'] == station]\n",
    "    filtered_df = filtered_df[filtered_df['TIME'].map(lambda x: str(x).endswith('00:00'))]\n",
    "    filtered_df['TIME'] = filtered_df['TIME'].map(lambda x: str(x)[0:-3])\n",
    "        \n",
    "    labels = filtered_df['TIME'].map(lambda x: str(x)[0:5]).to_list()\n",
    "    xs=np.linspace(1,12,len(labels))\n",
    "    xs_col1 = xs-.5\n",
    "    xs_col2 = xs+.5\n",
    "    xs_labels = np.linspace(0,13,len(labels)+1)\n",
    "    labels = [labels[-1]] + labels\n",
    "    \n",
    "    plt.figure()\n",
    "    plt.bar(xs_col1, filtered_df['DIFF_ENTRIES'], label='Entries')\n",
    "    plt.bar(xs_col2, filtered_df['DIFF_EXITS'], label='Exits')\n",
    "\n",
    "    plt.xticks(xs_labels, labels)\n",
    "    plt.title('Median Entries and Exits for {} Station'.format(plain_station))\n",
    "    plt.xlabel('Time of Day')\n",
    "    plt.legend()\n",
<<<<<<< HEAD
    "    plt.savefig('data/{}_median_hourly.png'.format(plain_station.replace(' ', '_')), dpi=300, transparent = True)"
=======
    "    plt.savefig('data/{}_median_hourly.png'.format(plain_station.replace(' ', '_')), dpi=300, transparent=True)"
>>>>>>> 9a7b0428e2a718a5123a63cf041e4314b956c8fa
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Plotting Median Traffic by Day and Time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ylabels = ['Mon','Tues','Wed','Thurs','Fri','Sat','Sun']\n",
    "for station, plain_station in zip(stations_to_plot, plain_station_names):\n",
    "    \n",
    "    heat_map_df = station_median_data_daily_hourly[station_median_data_daily_hourly['STATION'] == station]\n",
    "    heat_map_df = heat_map_df[heat_map_df['TIME'].map(lambda x: str(x).endswith('00:00'))]\n",
    "    heat_map_df['TIME'] = heat_map_df['TIME'].map(lambda x: str(x)[0:-3])\n",
    "        \n",
    "    pivoted =  heat_map_df.pivot(index='DAY', columns='TIME', values='RIDERSHIP')\n",
    "    \n",
    "    labels = list(heat_map_df['TIME'].unique())\n",
    "    labels = [labels[-1]] + labels\n",
    "    \n",
    "    plt.figure()\n",
    "    heat = sns.heatmap(pivoted, cmap='viridis', vmin=0, vmax=700, yticklabels=ylabels)\n",
    "    heat.set_title('Median Traffic for {} Station'.format(plain_station))\n",
    "    plt.xticks(np.linspace(0,6,7), labels)\n",
    "    \n",
    "    plt.savefig('data/{}_heatmap.png'.format(plain_station.replace(' ', '_')), dpi=300, transparent=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}