helsinki_bikes_analysis_birgit.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2e2fb975-a708-47bb-a813-9f4cd963658c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "# conda environments:\n",
      "#\n",
      "base                     /Users/birgit/anaconda3\n",
      "pier_ws               *  /Users/birgit/anaconda3/envs/pier_ws\n",
      "\n"
     ]
    }
   ],
   "source": [
    "!conda env list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "cd987545-88a9-495b-b705-393276bbda19",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import re\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "d2d96711-3d48-4fe5-a022-3ed17166b871",
   "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>departure</th>\n",
       "      <th>return</th>\n",
       "      <th>departure_id</th>\n",
       "      <th>departure_name</th>\n",
       "      <th>return_id</th>\n",
       "      <th>return_name</th>\n",
       "      <th>distance_(m)</th>\n",
       "      <th>duration_(sec.)</th>\n",
       "      <th>avg_speed_(km/h)</th>\n",
       "      <th>departure_latitude</th>\n",
       "      <th>departure_longitude</th>\n",
       "      <th>return_latitude</th>\n",
       "      <th>return_longitude</th>\n",
       "      <th>Air_temperature_(degC)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2019-04-01 05:40:01</td>\n",
       "      <td>2019-04-01 05:51:05</td>\n",
       "      <td>60.0</td>\n",
       "      <td>Itämerentori</td>\n",
       "      <td>25.0</td>\n",
       "      <td>Narinkka</td>\n",
       "      <td>2293.0</td>\n",
       "      <td>659.0</td>\n",
       "      <td>0.208771</td>\n",
       "      <td>60.163531</td>\n",
       "      <td>24.914517</td>\n",
       "      <td>60.170042</td>\n",
       "      <td>24.934607</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2019-04-01 05:53:14</td>\n",
       "      <td>2019-04-01 05:56:26</td>\n",
       "      <td>85.0</td>\n",
       "      <td>Jalavatie</td>\n",
       "      <td>83.0</td>\n",
       "      <td>Meilahden sairaala</td>\n",
       "      <td>479.0</td>\n",
       "      <td>190.0</td>\n",
       "      <td>0.151263</td>\n",
       "      <td>60.193470</td>\n",
       "      <td>24.905889</td>\n",
       "      <td>60.190219</td>\n",
       "      <td>24.908335</td>\n",
       "      <td>0.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2019-04-01 06:04:00</td>\n",
       "      <td>2019-04-01 06:17:33</td>\n",
       "      <td>86.0</td>\n",
       "      <td>Kuusitie</td>\n",
       "      <td>114.0</td>\n",
       "      <td>Ratapihantie</td>\n",
       "      <td>2598.0</td>\n",
       "      <td>812.0</td>\n",
       "      <td>0.191970</td>\n",
       "      <td>60.195245</td>\n",
       "      <td>24.901900</td>\n",
       "      <td>60.196431</td>\n",
       "      <td>24.936256</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2019-04-01 06:08:41</td>\n",
       "      <td>2019-04-01 06:14:24</td>\n",
       "      <td>26.0</td>\n",
       "      <td>Kamppi (M)</td>\n",
       "      <td>64.0</td>\n",
       "      <td>Tyynenmerenkatu</td>\n",
       "      <td>1611.0</td>\n",
       "      <td>339.0</td>\n",
       "      <td>0.285133</td>\n",
       "      <td>60.168610</td>\n",
       "      <td>24.930537</td>\n",
       "      <td>60.156838</td>\n",
       "      <td>24.920661</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2019-04-01 06:12:01</td>\n",
       "      <td>2019-04-01 06:31:09</td>\n",
       "      <td>35.0</td>\n",
       "      <td>Cygnaeuksenkatu</td>\n",
       "      <td>128.0</td>\n",
       "      <td>Päijänteentie</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1144.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>60.174064</td>\n",
       "      <td>24.928228</td>\n",
       "      <td>60.192058</td>\n",
       "      <td>24.964224</td>\n",
       "      <td>0.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3787552</th>\n",
       "      <td>2019-10-31 23:54:42</td>\n",
       "      <td>2019-11-01 00:29:17</td>\n",
       "      <td>21.0</td>\n",
       "      <td>Töölönlahdenkatu</td>\n",
       "      <td>7.0</td>\n",
       "      <td>Designmuseo</td>\n",
       "      <td>2460.0</td>\n",
       "      <td>2072.0</td>\n",
       "      <td>0.071236</td>\n",
       "      <td>60.172191</td>\n",
       "      <td>24.939308</td>\n",
       "      <td>60.163103</td>\n",
       "      <td>24.945960</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3787553</th>\n",
       "      <td>2019-10-31 23:54:46</td>\n",
       "      <td>2019-10-31 23:58:13</td>\n",
       "      <td>82.0</td>\n",
       "      <td>Töölöntulli</td>\n",
       "      <td>78.0</td>\n",
       "      <td>Messeniuksenkatu</td>\n",
       "      <td>489.0</td>\n",
       "      <td>205.0</td>\n",
       "      <td>0.143122</td>\n",
       "      <td>60.190957</td>\n",
       "      <td>24.912827</td>\n",
       "      <td>60.187835</td>\n",
       "      <td>24.918010</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3787554</th>\n",
       "      <td>2019-10-31 23:54:55</td>\n",
       "      <td>2019-10-31 23:58:28</td>\n",
       "      <td>82.0</td>\n",
       "      <td>Töölöntulli</td>\n",
       "      <td>78.0</td>\n",
       "      <td>Messeniuksenkatu</td>\n",
       "      <td>471.0</td>\n",
       "      <td>209.0</td>\n",
       "      <td>0.135215</td>\n",
       "      <td>60.190957</td>\n",
       "      <td>24.912827</td>\n",
       "      <td>60.187835</td>\n",
       "      <td>24.918010</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3787555</th>\n",
       "      <td>2019-10-31 23:58:23</td>\n",
       "      <td>2019-11-01 00:22:32</td>\n",
       "      <td>260.0</td>\n",
       "      <td>Herttoniemi (M)</td>\n",
       "      <td>239.0</td>\n",
       "      <td>Viikin tiedepuisto</td>\n",
       "      <td>4516.0</td>\n",
       "      <td>1446.0</td>\n",
       "      <td>0.187386</td>\n",
       "      <td>60.194615</td>\n",
       "      <td>25.028872</td>\n",
       "      <td>60.227521</td>\n",
       "      <td>25.010062</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3787556</th>\n",
       "      <td>2019-10-31 23:59:36</td>\n",
       "      <td>2019-11-01 00:11:00</td>\n",
       "      <td>22.0</td>\n",
       "      <td>Rautatientori / länsi</td>\n",
       "      <td>75.0</td>\n",
       "      <td>Korjaamo</td>\n",
       "      <td>2270.0</td>\n",
       "      <td>681.0</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>60.170606</td>\n",
       "      <td>24.939760</td>\n",
       "      <td>60.183868</td>\n",
       "      <td>24.919837</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3787557 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                   departure               return  departure_id  \\\n",
       "0        2019-04-01 05:40:01  2019-04-01 05:51:05          60.0   \n",
       "1        2019-04-01 05:53:14  2019-04-01 05:56:26          85.0   \n",
       "2        2019-04-01 06:04:00  2019-04-01 06:17:33          86.0   \n",
       "3        2019-04-01 06:08:41  2019-04-01 06:14:24          26.0   \n",
       "4        2019-04-01 06:12:01  2019-04-01 06:31:09          35.0   \n",
       "...                      ...                  ...           ...   \n",
       "3787552  2019-10-31 23:54:42  2019-11-01 00:29:17          21.0   \n",
       "3787553  2019-10-31 23:54:46  2019-10-31 23:58:13          82.0   \n",
       "3787554  2019-10-31 23:54:55  2019-10-31 23:58:28          82.0   \n",
       "3787555  2019-10-31 23:58:23  2019-11-01 00:22:32         260.0   \n",
       "3787556  2019-10-31 23:59:36  2019-11-01 00:11:00          22.0   \n",
       "\n",
       "                departure_name  return_id         return_name  distance_(m)  \\\n",
       "0                 Itämerentori       25.0            Narinkka        2293.0   \n",
       "1                    Jalavatie       83.0  Meilahden sairaala         479.0   \n",
       "2                     Kuusitie      114.0        Ratapihantie        2598.0   \n",
       "3                   Kamppi (M)       64.0     Tyynenmerenkatu        1611.0   \n",
       "4              Cygnaeuksenkatu      128.0       Päijänteentie           0.0   \n",
       "...                        ...        ...                 ...           ...   \n",
       "3787552       Töölönlahdenkatu        7.0         Designmuseo        2460.0   \n",
       "3787553            Töölöntulli       78.0    Messeniuksenkatu         489.0   \n",
       "3787554            Töölöntulli       78.0    Messeniuksenkatu         471.0   \n",
       "3787555        Herttoniemi (M)      239.0  Viikin tiedepuisto        4516.0   \n",
       "3787556  Rautatientori / länsi       75.0            Korjaamo        2270.0   \n",
       "\n",
       "         duration_(sec.)  avg_speed_(km/h)  departure_latitude  \\\n",
       "0                  659.0          0.208771           60.163531   \n",
       "1                  190.0          0.151263           60.193470   \n",
       "2                  812.0          0.191970           60.195245   \n",
       "3                  339.0          0.285133           60.168610   \n",
       "4                 1144.0          0.000000           60.174064   \n",
       "...                  ...               ...                 ...   \n",
       "3787552           2072.0          0.071236           60.172191   \n",
       "3787553            205.0          0.143122           60.190957   \n",
       "3787554            209.0          0.135215           60.190957   \n",
       "3787555           1446.0          0.187386           60.194615   \n",
       "3787556            681.0          0.200000           60.170606   \n",
       "\n",
       "         departure_longitude  return_latitude  return_longitude  \\\n",
       "0                  24.914517        60.170042         24.934607   \n",
       "1                  24.905889        60.190219         24.908335   \n",
       "2                  24.901900        60.196431         24.936256   \n",
       "3                  24.930537        60.156838         24.920661   \n",
       "4                  24.928228        60.192058         24.964224   \n",
       "...                      ...              ...               ...   \n",
       "3787552            24.939308        60.163103         24.945960   \n",
       "3787553            24.912827        60.187835         24.918010   \n",
       "3787554            24.912827        60.187835         24.918010   \n",
       "3787555            25.028872        60.227521         25.010062   \n",
       "3787556            24.939760        60.183868         24.919837   \n",
       "\n",
       "         Air_temperature_(degC)  \n",
       "0                           0.4  \n",
       "1                           0.4  \n",
       "2                           0.1  \n",
       "3                           0.1  \n",
       "4                           0.1  \n",
       "...                         ...  \n",
       "3787552                     2.5  \n",
       "3787553                     2.5  \n",
       "3787554                     2.5  \n",
       "3787555                     2.5  \n",
       "3787556                     2.5  \n",
       "\n",
       "[3787557 rows x 14 columns]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Import data from csv file\n",
    "df = pd.read_csv('data_prep/dataset_2019_only.csv.gz')\n",
    "\n",
    "# Print\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "2ea4eaeb-6a3c-4b7d-8e2f-3c54d7d9c19a",
   "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>departure</th>\n",
       "      <th>return</th>\n",
       "      <th>departure_id</th>\n",
       "      <th>departure_name</th>\n",
       "      <th>return_id</th>\n",
       "      <th>return_name</th>\n",
       "      <th>distance_(m)</th>\n",
       "      <th>duration_(sec.)</th>\n",
       "      <th>avg_speed_(km/h)</th>\n",
       "      <th>departure_latitude</th>\n",
       "      <th>departure_longitude</th>\n",
       "      <th>return_latitude</th>\n",
       "      <th>return_longitude</th>\n",
       "      <th>Air_temperature_(degC)</th>\n",
       "      <th>departure_weekday</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2019-04-01 05:40:01</td>\n",
       "      <td>2019-04-01 05:51:05</td>\n",
       "      <td>60.0</td>\n",
       "      <td>Itämerentori</td>\n",
       "      <td>25.0</td>\n",
       "      <td>Narinkka</td>\n",
       "      <td>2293.0</td>\n",
       "      <td>659.0</td>\n",
       "      <td>0.208771</td>\n",
       "      <td>60.163531</td>\n",
       "      <td>24.914517</td>\n",
       "      <td>60.170042</td>\n",
       "      <td>24.934607</td>\n",
       "      <td>0.4</td>\n",
       "      <td>Monday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2019-04-01 05:53:14</td>\n",
       "      <td>2019-04-01 05:56:26</td>\n",
       "      <td>85.0</td>\n",
       "      <td>Jalavatie</td>\n",
       "      <td>83.0</td>\n",
       "      <td>Meilahden sairaala</td>\n",
       "      <td>479.0</td>\n",
       "      <td>190.0</td>\n",
       "      <td>0.151263</td>\n",
       "      <td>60.193470</td>\n",
       "      <td>24.905889</td>\n",
       "      <td>60.190219</td>\n",
       "      <td>24.908335</td>\n",
       "      <td>0.4</td>\n",
       "      <td>Monday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2019-04-01 06:04:00</td>\n",
       "      <td>2019-04-01 06:17:33</td>\n",
       "      <td>86.0</td>\n",
       "      <td>Kuusitie</td>\n",
       "      <td>114.0</td>\n",
       "      <td>Ratapihantie</td>\n",
       "      <td>2598.0</td>\n",
       "      <td>812.0</td>\n",
       "      <td>0.191970</td>\n",
       "      <td>60.195245</td>\n",
       "      <td>24.901900</td>\n",
       "      <td>60.196431</td>\n",
       "      <td>24.936256</td>\n",
       "      <td>0.1</td>\n",
       "      <td>Monday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2019-04-01 06:08:41</td>\n",
       "      <td>2019-04-01 06:14:24</td>\n",
       "      <td>26.0</td>\n",
       "      <td>Kamppi (M)</td>\n",
       "      <td>64.0</td>\n",
       "      <td>Tyynenmerenkatu</td>\n",
       "      <td>1611.0</td>\n",
       "      <td>339.0</td>\n",
       "      <td>0.285133</td>\n",
       "      <td>60.168610</td>\n",
       "      <td>24.930537</td>\n",
       "      <td>60.156838</td>\n",
       "      <td>24.920661</td>\n",
       "      <td>0.1</td>\n",
       "      <td>Monday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2019-04-01 06:12:01</td>\n",
       "      <td>2019-04-01 06:31:09</td>\n",
       "      <td>35.0</td>\n",
       "      <td>Cygnaeuksenkatu</td>\n",
       "      <td>128.0</td>\n",
       "      <td>Päijänteentie</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1144.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>60.174064</td>\n",
       "      <td>24.928228</td>\n",
       "      <td>60.192058</td>\n",
       "      <td>24.964224</td>\n",
       "      <td>0.1</td>\n",
       "      <td>Monday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3787552</th>\n",
       "      <td>2019-10-31 23:54:42</td>\n",
       "      <td>2019-11-01 00:29:17</td>\n",
       "      <td>21.0</td>\n",
       "      <td>Töölönlahdenkatu</td>\n",
       "      <td>7.0</td>\n",
       "      <td>Designmuseo</td>\n",
       "      <td>2460.0</td>\n",
       "      <td>2072.0</td>\n",
       "      <td>0.071236</td>\n",
       "      <td>60.172191</td>\n",
       "      <td>24.939308</td>\n",
       "      <td>60.163103</td>\n",
       "      <td>24.945960</td>\n",
       "      <td>2.5</td>\n",
       "      <td>Thursday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3787553</th>\n",
       "      <td>2019-10-31 23:54:46</td>\n",
       "      <td>2019-10-31 23:58:13</td>\n",
       "      <td>82.0</td>\n",
       "      <td>Töölöntulli</td>\n",
       "      <td>78.0</td>\n",
       "      <td>Messeniuksenkatu</td>\n",
       "      <td>489.0</td>\n",
       "      <td>205.0</td>\n",
       "      <td>0.143122</td>\n",
       "      <td>60.190957</td>\n",
       "      <td>24.912827</td>\n",
       "      <td>60.187835</td>\n",
       "      <td>24.918010</td>\n",
       "      <td>2.5</td>\n",
       "      <td>Thursday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3787554</th>\n",
       "      <td>2019-10-31 23:54:55</td>\n",
       "      <td>2019-10-31 23:58:28</td>\n",
       "      <td>82.0</td>\n",
       "      <td>Töölöntulli</td>\n",
       "      <td>78.0</td>\n",
       "      <td>Messeniuksenkatu</td>\n",
       "      <td>471.0</td>\n",
       "      <td>209.0</td>\n",
       "      <td>0.135215</td>\n",
       "      <td>60.190957</td>\n",
       "      <td>24.912827</td>\n",
       "      <td>60.187835</td>\n",
       "      <td>24.918010</td>\n",
       "      <td>2.5</td>\n",
       "      <td>Thursday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3787555</th>\n",
       "      <td>2019-10-31 23:58:23</td>\n",
       "      <td>2019-11-01 00:22:32</td>\n",
       "      <td>260.0</td>\n",
       "      <td>Herttoniemi (M)</td>\n",
       "      <td>239.0</td>\n",
       "      <td>Viikin tiedepuisto</td>\n",
       "      <td>4516.0</td>\n",
       "      <td>1446.0</td>\n",
       "      <td>0.187386</td>\n",
       "      <td>60.194615</td>\n",
       "      <td>25.028872</td>\n",
       "      <td>60.227521</td>\n",
       "      <td>25.010062</td>\n",
       "      <td>2.5</td>\n",
       "      <td>Thursday</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3787556</th>\n",
       "      <td>2019-10-31 23:59:36</td>\n",
       "      <td>2019-11-01 00:11:00</td>\n",
       "      <td>22.0</td>\n",
       "      <td>Rautatientori / länsi</td>\n",
       "      <td>75.0</td>\n",
       "      <td>Korjaamo</td>\n",
       "      <td>2270.0</td>\n",
       "      <td>681.0</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>60.170606</td>\n",
       "      <td>24.939760</td>\n",
       "      <td>60.183868</td>\n",
       "      <td>24.919837</td>\n",
       "      <td>2.5</td>\n",
       "      <td>Thursday</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3787557 rows × 15 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                  departure               return  departure_id  \\\n",
       "0       2019-04-01 05:40:01  2019-04-01 05:51:05          60.0   \n",
       "1       2019-04-01 05:53:14  2019-04-01 05:56:26          85.0   \n",
       "2       2019-04-01 06:04:00  2019-04-01 06:17:33          86.0   \n",
       "3       2019-04-01 06:08:41  2019-04-01 06:14:24          26.0   \n",
       "4       2019-04-01 06:12:01  2019-04-01 06:31:09          35.0   \n",
       "...                     ...                  ...           ...   \n",
       "3787552 2019-10-31 23:54:42  2019-11-01 00:29:17          21.0   \n",
       "3787553 2019-10-31 23:54:46  2019-10-31 23:58:13          82.0   \n",
       "3787554 2019-10-31 23:54:55  2019-10-31 23:58:28          82.0   \n",
       "3787555 2019-10-31 23:58:23  2019-11-01 00:22:32         260.0   \n",
       "3787556 2019-10-31 23:59:36  2019-11-01 00:11:00          22.0   \n",
       "\n",
       "                departure_name  return_id         return_name  distance_(m)  \\\n",
       "0                 Itämerentori       25.0            Narinkka        2293.0   \n",
       "1                    Jalavatie       83.0  Meilahden sairaala         479.0   \n",
       "2                     Kuusitie      114.0        Ratapihantie        2598.0   \n",
       "3                   Kamppi (M)       64.0     Tyynenmerenkatu        1611.0   \n",
       "4              Cygnaeuksenkatu      128.0       Päijänteentie           0.0   \n",
       "...                        ...        ...                 ...           ...   \n",
       "3787552       Töölönlahdenkatu        7.0         Designmuseo        2460.0   \n",
       "3787553            Töölöntulli       78.0    Messeniuksenkatu         489.0   \n",
       "3787554            Töölöntulli       78.0    Messeniuksenkatu         471.0   \n",
       "3787555        Herttoniemi (M)      239.0  Viikin tiedepuisto        4516.0   \n",
       "3787556  Rautatientori / länsi       75.0            Korjaamo        2270.0   \n",
       "\n",
       "         duration_(sec.)  avg_speed_(km/h)  departure_latitude  \\\n",
       "0                  659.0          0.208771           60.163531   \n",
       "1                  190.0          0.151263           60.193470   \n",
       "2                  812.0          0.191970           60.195245   \n",
       "3                  339.0          0.285133           60.168610   \n",
       "4                 1144.0          0.000000           60.174064   \n",
       "...                  ...               ...                 ...   \n",
       "3787552           2072.0          0.071236           60.172191   \n",
       "3787553            205.0          0.143122           60.190957   \n",
       "3787554            209.0          0.135215           60.190957   \n",
       "3787555           1446.0          0.187386           60.194615   \n",
       "3787556            681.0          0.200000           60.170606   \n",
       "\n",
       "         departure_longitude  return_latitude  return_longitude  \\\n",
       "0                  24.914517        60.170042         24.934607   \n",
       "1                  24.905889        60.190219         24.908335   \n",
       "2                  24.901900        60.196431         24.936256   \n",
       "3                  24.930537        60.156838         24.920661   \n",
       "4                  24.928228        60.192058         24.964224   \n",
       "...                      ...              ...               ...   \n",
       "3787552            24.939308        60.163103         24.945960   \n",
       "3787553            24.912827        60.187835         24.918010   \n",
       "3787554            24.912827        60.187835         24.918010   \n",
       "3787555            25.028872        60.227521         25.010062   \n",
       "3787556            24.939760        60.183868         24.919837   \n",
       "\n",
       "         Air_temperature_(degC) departure_weekday  \n",
       "0                           0.4            Monday  \n",
       "1                           0.4            Monday  \n",
       "2                           0.1            Monday  \n",
       "3                           0.1            Monday  \n",
       "4                           0.1            Monday  \n",
       "...                         ...               ...  \n",
       "3787552                     2.5          Thursday  \n",
       "3787553                     2.5          Thursday  \n",
       "3787554                     2.5          Thursday  \n",
       "3787555                     2.5          Thursday  \n",
       "3787556                     2.5          Thursday  \n",
       "\n",
       "[3787557 rows x 15 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#try to work with datetime\n",
    "\n",
    "df['departure'] = pd.to_datetime(df['departure'])\n",
    "# df['departure_weekday'] = df['departure'].dt.dayofweek\n",
    "df['departure_weekday'] = df['departure'].dt.strftime('%A')\n",
    "\n",
    "df.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "7c128693-fb8a-4b70-8101-be1b83d280b6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#check on number of rides per weekday\n",
    "departures_per_weekday = df['departure_weekday'].value_counts()\n",
    "\n",
    "#and plot as histogram\n",
    "plt.figure(figsize=(8, 6))\n",
    "departures_per_weekday.plot(kind='bar')\n",
    "plt.xlabel('Weekday')\n",
    "plt.ylabel('Number of departures')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "8ec13504-e8c4-4fdc-bd80-bb948e0169fb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#same for month\n",
    "df['departure_month'] = df['departure'].dt.strftime('%B')\n",
    "\n",
    "# df.head()\n",
    "\n",
    "#check on number of rides per weekday\n",
    "departures_per_month = df['departure_month'].value_counts()\n",
    "\n",
    "#and plot as histogram\n",
    "plt.figure(figsize=(8, 6))\n",
    "departures_per_month.plot(kind='bar')\n",
    "plt.xlabel('Month')\n",
    "plt.ylabel('Number of departures')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "6967c5fd-08fd-4b47-b9b1-4f1d1661b011",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/birgit/anaconda3/envs/pier_ws/lib/python3.11/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/birgit/anaconda3/envs/pier_ws/lib/python3.11/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/birgit/anaconda3/envs/pier_ws/lib/python3.11/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/birgit/anaconda3/envs/pier_ws/lib/python3.11/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='departure_longitude', ylabel='departure_latitude'>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dep_station_counts = df['departure_id'].value_counts()\n",
    "df['departure_station_frequency'] = df['departure_id'].map(dep_station_counts)\n",
    "df_departures=df[['departure_longitude','departure_latitude','departure_station_frequency']].copy().drop_duplicates()\n",
    "sns.scatterplot(data=df_departures, x=\"departure_longitude\", y=\"departure_latitude\", hue=\"departure_station_frequency\", size=\"departure_station_frequency\", legend=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "a084c532-43c5-4efe-a0d1-512f3dc23ce3",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/birgit/anaconda3/envs/pier_ws/lib/python3.11/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/birgit/anaconda3/envs/pier_ws/lib/python3.11/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/birgit/anaconda3/envs/pier_ws/lib/python3.11/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/birgit/anaconda3/envs/pier_ws/lib/python3.11/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='return_longitude', ylabel='return_latitude'>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "arr_station_counts = df['return_id'].value_counts()\n",
    "df['arrival_station_frequency'] = df['return_id'].map(arr_station_counts)\n",
    "df_arrivals=df[['return_longitude','return_latitude','arrival_station_frequency']].copy().drop_duplicates()\n",
    "sns.scatterplot(data=df_arrivals, x=\"return_longitude\", y=\"return_latitude\", hue=\"arrival_station_frequency\", size=\"arrival_station_frequency\", legend=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "2efa2dd1-23ce-4a7c-a4dd-ba25e152ddb1",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/birgit/anaconda3/envs/pier_ws/lib/python3.11/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/birgit/anaconda3/envs/pier_ws/lib/python3.11/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/birgit/anaconda3/envs/pier_ws/lib/python3.11/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/birgit/anaconda3/envs/pier_ws/lib/python3.11/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='departure_longitude', ylabel='departure_latitude'>"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_departure = df.groupby('departure_id')\n",
    "df_departure['distance_(m)'].mean()\n",
    "df['average_distance'] = df['departure_id'].map(df_departure['distance_(m)'].mean())\n",
    "df_meandistance=df[['departure_longitude','departure_latitude','average_distance']].copy().drop_duplicates()\n",
    "sns.scatterplot(data=df_meandistance, x=\"departure_longitude\", y=\"departure_latitude\", hue=\"average_distance\", size=\"average_distance\", legend=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "c61ae892-dc8b-4dac-923e-e832b937cc3b",
   "metadata": {},
   "outputs": [],
   "source": [
    "#try pairplot\n",
    "# sns.pairplot(df_2019)\n",
    "\n",
    "#doesnt work needs more cleanup/filtering?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "0b7fb42a-9c37-451d-8518-3b8044e55a9c",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/birgit/anaconda3/envs/pier_ws/lib/python3.11/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/birgit/anaconda3/envs/pier_ws/lib/python3.11/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/birgit/anaconda3/envs/pier_ws/lib/python3.11/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n",
      "/Users/birgit/anaconda3/envs/pier_ws/lib/python3.11/site-packages/seaborn/_oldcore.py:1498: FutureWarning: is_categorical_dtype is deprecated and will be removed in a future version. Use isinstance(dtype, CategoricalDtype) instead\n",
      "  if pd.api.types.is_categorical_dtype(vector):\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='departure_longitude', ylabel='departure_latitude'>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/birgit/anaconda3/envs/pier_ws/lib/python3.11/site-packages/IPython/core/events.py:93: UserWarning: Creating legend with loc=\"best\" can be slow with large amounts of data.\n",
      "  func(*args, **kwargs)\n",
      "/Users/birgit/anaconda3/envs/pier_ws/lib/python3.11/site-packages/IPython/core/pylabtools.py:152: UserWarning: Creating legend with loc=\"best\" can be slow with large amounts of data.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n"
     ]
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#value count of departure station IDs\n",
    "dep_station_counts = df['departure_id'].value_counts()\n",
    "\n",
    "df['departure_station_frequency'] = df['departure_id'].map(dep_station_counts)\n",
    "\n",
    "# df.head()\n",
    "\n",
    "\n",
    "# fig, ax = plt.subplots()\n",
    "# for category, group in df.groupby('departure_id'):\n",
    "#     ax.scatter(group['departure_longitude'], group['departure_latitude'], alpha=dep_station_counts[category] / len(df))\n",
    "# plt.xlabel('X')\n",
    "# plt.ylabel('Y')\n",
    "# plt.show()\n",
    "\n",
    "sns.scatterplot(df, x=\"departure_longitude\", y=\"departure_latitude\", hue=\"departure_station_frequency\", size=\"departure_station_frequency\")\n",
    "\n",
    "#try plot the coordinates on a map\n",
    "\n",
    "# df.plot(x=\"departure_longitude\", y=\"departure_latitude\", kind=\"scatter\", \n",
    "#         s=80, alpha=0.01)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "306fd58d-380c-48fe-9f4c-1f47a85d490b",
   "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>departure</th>\n",
       "      <th>return</th>\n",
       "      <th>departure_id</th>\n",
       "      <th>departure_name</th>\n",
       "      <th>return_id</th>\n",
       "      <th>return_name</th>\n",
       "      <th>distance_(m)</th>\n",
       "      <th>duration_(sec.)</th>\n",
       "      <th>avg_speed_(km/h)</th>\n",
       "      <th>departure_latitude</th>\n",
       "      <th>departure_longitude</th>\n",
       "      <th>return_latitude</th>\n",
       "      <th>return_longitude</th>\n",
       "      <th>Air_temperature_(degC)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>2020-03-23 07:59:23</td>\n",
       "      <td>2020-03-23 15:28:14</td>\n",
       "      <td>85</td>\n",
       "      <td>Jalavatie</td>\n",
       "      <td>104.0</td>\n",
       "      <td>Kriikunakuja</td>\n",
       "      <td>1754.0</td>\n",
       "      <td>540.0</td>\n",
       "      <td>0.194889</td>\n",
       "      <td>60.19347</td>\n",
       "      <td>24.905889</td>\n",
       "      <td>60.205678</td>\n",
       "      <td>24.891682</td>\n",
       "      <td>1.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>2020-03-23 08:45:20</td>\n",
       "      <td>2020-03-23 08:58:30</td>\n",
       "      <td>85</td>\n",
       "      <td>Jalavatie</td>\n",
       "      <td>206.0</td>\n",
       "      <td>Ruskeasuon varikko</td>\n",
       "      <td>2928.0</td>\n",
       "      <td>786.0</td>\n",
       "      <td>0.223511</td>\n",
       "      <td>60.19347</td>\n",
       "      <td>24.905889</td>\n",
       "      <td>60.207680</td>\n",
       "      <td>24.898668</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187</th>\n",
       "      <td>2020-03-23 09:08:33</td>\n",
       "      <td>2020-03-23 09:13:27</td>\n",
       "      <td>85</td>\n",
       "      <td>Jalavatie</td>\n",
       "      <td>81.0</td>\n",
       "      <td>Stenbäckinkatu</td>\n",
       "      <td>947.0</td>\n",
       "      <td>290.0</td>\n",
       "      <td>0.195931</td>\n",
       "      <td>60.19347</td>\n",
       "      <td>24.905889</td>\n",
       "      <td>60.188309</td>\n",
       "      <td>24.912372</td>\n",
       "      <td>1.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>261</th>\n",
       "      <td>2020-03-23 10:00:15</td>\n",
       "      <td>2020-03-23 10:08:45</td>\n",
       "      <td>85</td>\n",
       "      <td>Jalavatie</td>\n",
       "      <td>39.0</td>\n",
       "      <td>Ooppera</td>\n",
       "      <td>1766.0</td>\n",
       "      <td>506.0</td>\n",
       "      <td>0.209407</td>\n",
       "      <td>60.19347</td>\n",
       "      <td>24.905889</td>\n",
       "      <td>60.182553</td>\n",
       "      <td>24.926687</td>\n",
       "      <td>2.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>574</th>\n",
       "      <td>2020-03-23 13:07:31</td>\n",
       "      <td>2020-03-23 13:07:52</td>\n",
       "      <td>85</td>\n",
       "      <td>Jalavatie</td>\n",
       "      <td>85.0</td>\n",
       "      <td>Jalavatie</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>60.19347</td>\n",
       "      <td>24.905889</td>\n",
       "      <td>60.193470</td>\n",
       "      <td>24.905889</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               departure               return departure_id departure_name  \\\n",
       "82   2020-03-23 07:59:23  2020-03-23 15:28:14           85      Jalavatie   \n",
       "157  2020-03-23 08:45:20  2020-03-23 08:58:30           85      Jalavatie   \n",
       "187  2020-03-23 09:08:33  2020-03-23 09:13:27           85      Jalavatie   \n",
       "261  2020-03-23 10:00:15  2020-03-23 10:08:45           85      Jalavatie   \n",
       "574  2020-03-23 13:07:31  2020-03-23 13:07:52           85      Jalavatie   \n",
       "\n",
       "    return_id         return_name  distance_(m)  duration_(sec.)  \\\n",
       "82      104.0        Kriikunakuja        1754.0            540.0   \n",
       "157     206.0  Ruskeasuon varikko        2928.0            786.0   \n",
       "187      81.0      Stenbäckinkatu         947.0            290.0   \n",
       "261      39.0             Ooppera        1766.0            506.0   \n",
       "574      85.0           Jalavatie           0.0             16.0   \n",
       "\n",
       "     avg_speed_(km/h)  departure_latitude  departure_longitude  \\\n",
       "82           0.194889            60.19347            24.905889   \n",
       "157          0.223511            60.19347            24.905889   \n",
       "187          0.195931            60.19347            24.905889   \n",
       "261          0.209407            60.19347            24.905889   \n",
       "574          0.000000            60.19347            24.905889   \n",
       "\n",
       "     return_latitude  return_longitude  Air_temperature_(degC)  \n",
       "82         60.205678         24.891682                     1.1  \n",
       "157        60.207680         24.898668                     1.5  \n",
       "187        60.188309         24.912372                     1.9  \n",
       "261        60.182553         24.926687                     2.1  \n",
       "574        60.193470         24.905889                     4.0  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#are the coordinates of a station the same?\n",
    "df_stat = df[df['departure_name'].str.contains('Jalavatie') ]\n",
    "\n",
    "df_stat.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "dda93931-50db-408e-a299-c55c18657fae",
   "metadata": {},
   "outputs": [
    {
     "ename": "ImportError",
     "evalue": "The 'read_file' function requires the 'pyogrio' or 'fiona' package, but neither is installed or imports correctly.\nImporting fiona resulted in: dlopen(/Users/birgit/anaconda3/envs/pier_ws/lib/python3.11/site-packages/fiona/_env.cpython-311-darwin.so, 0x0002): Symbol not found: (_opj_decoder_set_strict_mode)\n  Referenced from: '/Users/birgit/anaconda3/envs/pier_ws/lib/libgdal.34.3.8.0.dylib'\n  Expected in: '/Users/birgit/anaconda3/envs/pier_ws/lib/libopenjp2.2.4.0.dylib'\nImporting pyogrio resulted in: No module named 'pyogrio'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mImportError\u001b[0m                               Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[37], line 4\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mgeopandas\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mgpd\u001b[39;00m\n\u001b[1;32m      3\u001b[0m \u001b[38;5;66;03m# Load the shapefile or GeoJSON file into a GeoDataFrame\u001b[39;00m\n\u001b[0;32m----> 4\u001b[0m helsinki_data \u001b[38;5;241m=\u001b[39m gpd\u001b[38;5;241m.\u001b[39mread_file(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mpath_to_file/helsinki_boundary.shp\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m      6\u001b[0m \u001b[38;5;66;03m# Plot the GeoDataFrame\u001b[39;00m\n\u001b[1;32m      7\u001b[0m helsinki_data\u001b[38;5;241m.\u001b[39mplot()\n",
      "File \u001b[0;32m~/anaconda3/envs/pier_ws/lib/python3.11/site-packages/geopandas/io/file.py:271\u001b[0m, in \u001b[0;36m_read_file\u001b[0;34m(filename, bbox, mask, rows, engine, **kwargs)\u001b[0m\n\u001b[1;32m    181\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_read_file\u001b[39m(filename, bbox\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, mask\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, rows\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, engine\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mNone\u001b[39;00m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m    182\u001b[0m \u001b[38;5;250m    \u001b[39m\u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m    183\u001b[0m \u001b[38;5;124;03m    Returns a GeoDataFrame from a file or URL.\u001b[39;00m\n\u001b[1;32m    184\u001b[0m \n\u001b[0;32m   (...)\u001b[0m\n\u001b[1;32m    269\u001b[0m \n\u001b[1;32m    270\u001b[0m \u001b[38;5;124;03m    \"\"\"\u001b[39;00m\n\u001b[0;32m--> 271\u001b[0m     engine \u001b[38;5;241m=\u001b[39m _check_engine(engine, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mread_file\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m function\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m    273\u001b[0m     filename \u001b[38;5;241m=\u001b[39m _expand_user(filename)\n\u001b[1;32m    275\u001b[0m     from_bytes \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n",
      "File \u001b[0;32m~/anaconda3/envs/pier_ws/lib/python3.11/site-packages/geopandas/io/file.py:120\u001b[0m, in \u001b[0;36m_check_engine\u001b[0;34m(engine, func)\u001b[0m\n\u001b[1;32m    118\u001b[0m     _check_pyogrio(func)\n\u001b[1;32m    119\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m engine \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m--> 120\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mImportError\u001b[39;00m(\n\u001b[1;32m    121\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mThe \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfunc\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m requires the \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mpyogrio\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m or \u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mfiona\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m package, \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    122\u001b[0m         \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mbut neither is installed or imports correctly.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    123\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124mImporting fiona resulted in: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mfiona_import_error\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    124\u001b[0m         \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124mImporting pyogrio resulted in: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mpyogrio_import_error\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    125\u001b[0m     )\n\u001b[1;32m    127\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m engine\n",
      "\u001b[0;31mImportError\u001b[0m: The 'read_file' function requires the 'pyogrio' or 'fiona' package, but neither is installed or imports correctly.\nImporting fiona resulted in: dlopen(/Users/birgit/anaconda3/envs/pier_ws/lib/python3.11/site-packages/fiona/_env.cpython-311-darwin.so, 0x0002): Symbol not found: (_opj_decoder_set_strict_mode)\n  Referenced from: '/Users/birgit/anaconda3/envs/pier_ws/lib/libgdal.34.3.8.0.dylib'\n  Expected in: '/Users/birgit/anaconda3/envs/pier_ws/lib/libopenjp2.2.4.0.dylib'\nImporting pyogrio resulted in: No module named 'pyogrio'"
     ]
    }
   ],
   "source": [
    "import geopandas as gpd\n",
    "\n",
    "# Load the shapefile or GeoJSON file into a GeoDataFrame\n",
    "helsinki_data = gpd.read_file('path_to_file/helsinki_boundary.shp')\n",
    "\n",
    "# Plot the GeoDataFrame\n",
    "helsinki_data.plot()\n",
    "\n",
    "# Display the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "643803ee-74cc-403a-abf6-98fbeee50856",
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyError",
     "evalue": "('departure_longitude', 'departure_latitude')",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "File \u001b[0;32m~/anaconda3/envs/pier_ws/lib/python3.11/site-packages/pandas/core/indexes/base.py:3790\u001b[0m, in \u001b[0;36mIndex.get_loc\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m   3789\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m-> 3790\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_engine\u001b[38;5;241m.\u001b[39mget_loc(casted_key)\n\u001b[1;32m   3791\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m err:\n",
      "File \u001b[0;32mindex.pyx:152\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n",
      "File \u001b[0;32mindex.pyx:181\u001b[0m, in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n",
      "File \u001b[0;32mpandas/_libs/hashtable_class_helper.pxi:7080\u001b[0m, in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n",
      "File \u001b[0;32mpandas/_libs/hashtable_class_helper.pxi:7088\u001b[0m, in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;31mKeyError\u001b[0m: ('departure_longitude', 'departure_latitude')",
      "\nThe above exception was the direct cause of the following exception:\n",
      "\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "Cell \u001b[0;32mIn[14], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m sns\u001b[38;5;241m.\u001b[39mheatmap(df_2019[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mdeparture_longitude\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mdeparture_latitude\u001b[39m\u001b[38;5;124m'\u001b[39m], annot\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n",
      "File \u001b[0;32m~/anaconda3/envs/pier_ws/lib/python3.11/site-packages/pandas/core/frame.py:3896\u001b[0m, in \u001b[0;36mDataFrame.__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m   3894\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcolumns\u001b[38;5;241m.\u001b[39mnlevels \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m1\u001b[39m:\n\u001b[1;32m   3895\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_getitem_multilevel(key)\n\u001b[0;32m-> 3896\u001b[0m indexer \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mcolumns\u001b[38;5;241m.\u001b[39mget_loc(key)\n\u001b[1;32m   3897\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m is_integer(indexer):\n\u001b[1;32m   3898\u001b[0m     indexer \u001b[38;5;241m=\u001b[39m [indexer]\n",
      "File \u001b[0;32m~/anaconda3/envs/pier_ws/lib/python3.11/site-packages/pandas/core/indexes/base.py:3797\u001b[0m, in \u001b[0;36mIndex.get_loc\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m   3792\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(casted_key, \u001b[38;5;28mslice\u001b[39m) \u001b[38;5;129;01mor\u001b[39;00m (\n\u001b[1;32m   3793\u001b[0m         \u001b[38;5;28misinstance\u001b[39m(casted_key, abc\u001b[38;5;241m.\u001b[39mIterable)\n\u001b[1;32m   3794\u001b[0m         \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;28many\u001b[39m(\u001b[38;5;28misinstance\u001b[39m(x, \u001b[38;5;28mslice\u001b[39m) \u001b[38;5;28;01mfor\u001b[39;00m x \u001b[38;5;129;01min\u001b[39;00m casted_key)\n\u001b[1;32m   3795\u001b[0m     ):\n\u001b[1;32m   3796\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m InvalidIndexError(key)\n\u001b[0;32m-> 3797\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mKeyError\u001b[39;00m(key) \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01merr\u001b[39;00m\n\u001b[1;32m   3798\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m \u001b[38;5;167;01mTypeError\u001b[39;00m:\n\u001b[1;32m   3799\u001b[0m     \u001b[38;5;66;03m# If we have a listlike key, _check_indexing_error will raise\u001b[39;00m\n\u001b[1;32m   3800\u001b[0m     \u001b[38;5;66;03m#  InvalidIndexError. Otherwise we fall through and re-raise\u001b[39;00m\n\u001b[1;32m   3801\u001b[0m     \u001b[38;5;66;03m#  the TypeError.\u001b[39;00m\n\u001b[1;32m   3802\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_check_indexing_error(key)\n",
      "\u001b[0;31mKeyError\u001b[0m: ('departure_longitude', 'departure_latitude')"
     ]
    }
   ],
   "source": [
    "sns.heatmap(df_2019['departure_longitude', 'departure_latitude'], annot=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7317c16c-570d-4348-a2f2-bf3dac9fe879",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.11.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}