Postdatensatz_Analyse.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Wir analysieren nun den Inhalt von sämtlichen Spalten\n",
    "#In diesem Schritt zeigen wir die Services der Post die an 19'000 Punkten der Schweiz angeboten werden"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: pip in /opt/conda/lib/python3.6/site-packages (21.3.1)\n",
      "Requirement already satisfied: openpyxl in /opt/conda/lib/python3.6/site-packages (3.0.10)\n",
      "Requirement already satisfied: et-xmlfile in /opt/conda/lib/python3.6/site-packages (from openpyxl) (1.1.0)\n",
      "Requirement already satisfied: matplotlib in /opt/conda/lib/python3.6/site-packages (2.0.2)\n",
      "Requirement already satisfied: numpy>=1.7.1 in /opt/conda/lib/python3.6/site-packages (from matplotlib) (1.12.1)\n",
      "Requirement already satisfied: six>=1.10 in /opt/conda/lib/python3.6/site-packages (from matplotlib) (1.10.0)\n",
      "Requirement already satisfied: python-dateutil in /opt/conda/lib/python3.6/site-packages (from matplotlib) (2.6.1)\n",
      "Requirement already satisfied: pytz in /opt/conda/lib/python3.6/site-packages (from matplotlib) (2017.2)\n",
      "Requirement already satisfied: cycler>=0.10 in /opt/conda/lib/python3.6/site-packages/cycler-0.10.0-py3.6.egg (from matplotlib) (0.10.0)\n",
      "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=1.5.6 in /opt/conda/lib/python3.6/site-packages (from matplotlib) (2.2.0)\n",
      "Requirement already satisfied: folium in /opt/conda/lib/python3.6/site-packages (0.12.1.post1)\n",
      "Requirement already satisfied: branca>=0.3.0 in /opt/conda/lib/python3.6/site-packages (from folium) (0.5.0)\n",
      "Requirement already satisfied: numpy in /opt/conda/lib/python3.6/site-packages (from folium) (1.12.1)\n",
      "Requirement already satisfied: jinja2>=2.9 in /opt/conda/lib/python3.6/site-packages (from folium) (2.9.6)\n",
      "Requirement already satisfied: requests in /opt/conda/lib/python3.6/site-packages (from folium) (2.18.4)\n",
      "Requirement already satisfied: MarkupSafe>=0.23 in /opt/conda/lib/python3.6/site-packages (from jinja2>=2.9->folium) (1.0)\n",
      "Requirement already satisfied: chardet<3.1.0,>=3.0.2 in /opt/conda/lib/python3.6/site-packages (from requests->folium) (3.0.4)\n",
      "Requirement already satisfied: idna<2.7,>=2.5 in /opt/conda/lib/python3.6/site-packages (from requests->folium) (2.5)\n",
      "Requirement already satisfied: urllib3<1.23,>=1.21.1 in /opt/conda/lib/python3.6/site-packages (from requests->folium) (1.22)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /opt/conda/lib/python3.6/site-packages (from requests->folium) (2017.7.27.1)\n"
     ]
    }
   ],
   "source": [
    "!python -m pip install --upgrade pip\n",
    "!pip install openpyxl\n",
    "import pandas as pd\n",
    "import openpyxl\n",
    "import xlrd\n",
    "import numpy as np\n",
    "from pandas import DataFrame\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "\n",
    "!pip install matplotlib\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "mpl.style.use('ggplot')\n",
    "\n",
    "!pip install folium\n",
    "import folium # plotting library\n",
    "from folium.plugins import MarkerCluster\n",
    "from folium.plugins import FastMarkerCluster"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.set_option('display.max_columns', None)\n",
    "pd.set_option('display.max_rows', None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_basisdaten = pd.read_csv('basisdaten.csv', sep = ',')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_basisdaten = df_basisdaten.drop(df_basisdaten.columns[[0]], axis=1) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(89853, 14)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_basisdaten.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "description_de: 19622\n",
      "address_city: 3999\n",
      "address_kantoncode: 28\n",
      "address_zip: 3200\n",
      "address_countrycode: 2\n",
      "address_street: 13310\n",
      "address_gemeindeid: 2181\n",
      "geopoint: 18680\n",
      "poityp_de: 13\n",
      "groupename_de: 10\n",
      "service_de: 72\n",
      "Geopoint_X: 18670\n",
      "Geopoint_Y: 18669\n",
      "Einwohnerzahl: 1772\n"
     ]
    }
   ],
   "source": [
    "for col in df_basisdaten:\n",
    "    print(col, end = \": \")\n",
    "    print(df_basisdaten[col].nunique())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Die meisten Services, die die Post anbietet sind Services zu Briefen und Paketen\n",
    "#Bei den Werten 0 handelt es sich um Postfachanlagen oder Briefkästen. \n",
    "#Der Wert 0 bedeutet soviel wie #\"ist ein Briefkasten oder Postfachanlage\". \n",
    "#ACHTUNG es hat 4 falsche 0 Werte, die einer Filiale zugeordnet sind\n",
    "#Wir werden dies in einem späteren Schritt bereinigen"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>groupename_de</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Briefe und Pakete</th>\n",
       "      <td>29807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zahlungsverkehr</th>\n",
       "      <td>26935</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>14799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zusatzangebot</th>\n",
       "      <td>6769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hinweise</th>\n",
       "      <td>5637</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dienstleistungen GK</th>\n",
       "      <td>3655</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Infrastruktur</th>\n",
       "      <td>1199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fotokopierer Schalterhalle</th>\n",
       "      <td>897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zahlungsmöglichkeit</th>\n",
       "      <td>78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kraftstoffangebote</th>\n",
       "      <td>77</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            groupename_de\n",
       "Briefe und Pakete                   29807\n",
       "Zahlungsverkehr                     26935\n",
       "0                                   14799\n",
       "Zusatzangebot                        6769\n",
       "Hinweise                             5637\n",
       "Dienstleistungen GK                  3655\n",
       "Infrastruktur                        1199\n",
       "Fotokopierer Schalterhalle            897\n",
       "Zahlungsmöglichkeit                    78\n",
       "Kraftstoffangebote                     77"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_basisdaten['groupename_de'].value_counts().to_frame()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>service_de</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>14799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Briefe und Pakete empfangen</th>\n",
       "      <td>5537</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Briefmarken</th>\n",
       "      <td>5350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PickPost</th>\n",
       "      <td>4025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Briefe und Pakete versenden</th>\n",
       "      <td>3658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Swiss-Express \\</th>\n",
       "      <td>3590</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Frankieren</th>\n",
       "      <td>3545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bargeldbezug</th>\n",
       "      <td>3541</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Einzahlungen</th>\n",
       "      <td>3519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Einzahlungen (CHF) mit Karten (PostFinance Card, Maestro, V PAY)</th>\n",
       "      <td>3517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Annahmestelle PromoPost</th>\n",
       "      <td>3465</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bargeldbezug (max. CHF 500.-, CHF 50.- garantiert) mit PostFinance Card</th>\n",
       "      <td>1903</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Briefe und Pakete* versenden</th>\n",
       "      <td>1901</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nur Einzahlungen Inland</th>\n",
       "      <td>1899</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>*Pakete versenden bis max. 100 x 60 x 60 cm und 30 kg (Standardpaket)</th>\n",
       "      <td>1899</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bargeldbezug (max. CHF 10'000) mit Check Hausservice oder Auszahlungsschein</th>\n",
       "      <td>1811</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Autobahnvignetten</th>\n",
       "      <td>1809</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bareinzahlungen in CHF (max. CHF 10'000)</th>\n",
       "      <td>1809</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hausservice</th>\n",
       "      <td>1808</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Einzahlungen (CHF) mit Check Hausservice oder Auszahlungsschein</th>\n",
       "      <td>1806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Beratung zum Postangebot</th>\n",
       "      <td>1635</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bareinzahlungen in CHF und EUR</th>\n",
       "      <td>1627</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Change</th>\n",
       "      <td>1625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Postshop-Artikel</th>\n",
       "      <td>1621</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tickets</th>\n",
       "      <td>1593</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bargeldbezug mit PostFinance Card und Change (CHF und EUR)</th>\n",
       "      <td>1406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Postomat</th>\n",
       "      <td>983</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sendungen klimaneutral verschicken (pro clima)</th>\n",
       "      <td>938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Münz-Kopierer Schalterhalle</th>\n",
       "      <td>897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Audiounterstützung für Sehbehinderte</th>\n",
       "      <td>803</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bargeldbezug in EUR</th>\n",
       "      <td>800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bargeldbezug in CHF</th>\n",
       "      <td>800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Postomat zugänglich 7/24</th>\n",
       "      <td>729</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Annahme PostPac Priority bis 16 Uhr</th>\n",
       "      <td>637</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TWINT</th>\n",
       "      <td>473</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pakete versenden</th>\n",
       "      <td>439</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rollstuhlgängig</th>\n",
       "      <td>216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bargeldbezug mit PostFinance Card und Change (max. CHF 10'000.- / EUR 5000.-)</th>\n",
       "      <td>168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shop-Client für die Kreditkartenabwicklung</th>\n",
       "      <td>130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SameDay Nachmittag / Abend</th>\n",
       "      <td>121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Postomat zugänglich mit Rollstuhl</th>\n",
       "      <td>117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Annahmestelle VinoLog</th>\n",
       "      <td>107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Postshop</th>\n",
       "      <td>105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Umfassende Finanzberatung</th>\n",
       "      <td>89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Annahmestelle Betreibungsurkunden</th>\n",
       "      <td>69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bargeldbezug mit PostFinance Card und Change (max. CHF 500.- / EUR 400.-)</th>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Retouren Versandhandel</th>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bareinzahlung</th>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Einzahlungen in Noten CHF</th>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PostFinance Card</th>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kredit- Debitkarten</th>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Diesel</th>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Einzahlungen in Münzen CHF</th>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Einzahlungen in Noten EUR</th>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Benzin</th>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Barauszahlung CHF &amp; EUR am Postomat</th>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kein Zahlungsverkehr</th>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bareinzahlung CHF &amp; EUR am Postomat (EUR nur Noten)</th>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Standort mit Vergütung</th>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Annahmestelle OnTime Mail</th>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AdBlue</th>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bargeldbezug (max. CHF 500.-) mit PostFinance Card</th>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Annahme Swiss-Express \\</th>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Briefmarken sammeln</th>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Aufgabe Reisegepäck nicht möglich</th>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kooperation mit Groupe Mutuel Versicherungen</th>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Einzahlungen (CHF und EUR) mit PostFinance Card und Maestro-Karten</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bargeldbezug (CHF) mit PostFinance Card</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Einzahlungen (CHF) mit PostFinance Card</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bargeldlos</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zahlungen am Schalter nur mit PostFinance Card</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Erdgas</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    service_de\n",
       "0                                                        14799\n",
       "Briefe und Pakete empfangen                               5537\n",
       "Briefmarken                                               5350\n",
       "PickPost                                                  4025\n",
       "Briefe und Pakete versenden                               3658\n",
       "Swiss-Express \\                                           3590\n",
       "Frankieren                                                3545\n",
       "Bargeldbezug                                              3541\n",
       "Einzahlungen                                              3519\n",
       "Einzahlungen (CHF) mit Karten (PostFinance Card...        3517\n",
       "Annahmestelle PromoPost                                   3465\n",
       "Bargeldbezug (max. CHF 500.-, CHF 50.- garantie...        1903\n",
       "Briefe und Pakete* versenden                              1901\n",
       "Nur Einzahlungen Inland                                   1899\n",
       "*Pakete versenden bis max. 100 x 60 x 60 cm und...        1899\n",
       "Bargeldbezug (max. CHF 10'000) mit Check Hausse...        1811\n",
       "Autobahnvignetten                                         1809\n",
       "Bareinzahlungen in CHF (max. CHF 10'000)                  1809\n",
       "Hausservice                                               1808\n",
       "Einzahlungen (CHF) mit Check Hausservice oder A...        1806\n",
       "Beratung zum Postangebot                                  1635\n",
       "Bareinzahlungen in CHF und EUR                            1627\n",
       "Change                                                    1625\n",
       "Postshop-Artikel                                          1621\n",
       "Tickets                                                   1593\n",
       "Bargeldbezug mit PostFinance Card und Change (C...        1406\n",
       "Postomat                                                   983\n",
       "Sendungen klimaneutral verschicken (pro clima)             938\n",
       "Münz-Kopierer Schalterhalle                                897\n",
       "Audiounterstützung für Sehbehinderte                       803\n",
       "Bargeldbezug in EUR                                        800\n",
       "Bargeldbezug in CHF                                        800\n",
       "Postomat zugänglich 7/24                                   729\n",
       "Annahme PostPac Priority bis 16 Uhr                        637\n",
       "TWINT                                                      473\n",
       "Pakete versenden                                           439\n",
       "Rollstuhlgängig                                            216\n",
       "Bargeldbezug mit PostFinance Card und Change (m...         168\n",
       "Shop-Client für die Kreditkartenabwicklung                 130\n",
       "SameDay Nachmittag / Abend                                 121\n",
       "Postomat zugänglich mit Rollstuhl                          117\n",
       "Annahmestelle VinoLog                                      107\n",
       "Postshop                                                   105\n",
       "Umfassende Finanzberatung                                   89\n",
       "Annahmestelle Betreibungsurkunden                           69\n",
       "Bargeldbezug mit PostFinance Card und Change (m...          51\n",
       "Retouren Versandhandel                                      47\n",
       "Bareinzahlung                                               42\n",
       "Einzahlungen in Noten CHF                                   42\n",
       "PostFinance Card                                            39\n",
       "Kredit- Debitkarten                                         39\n",
       "Diesel                                                      38\n",
       "Einzahlungen in Münzen CHF                                  38\n",
       "Einzahlungen in Noten EUR                                   33\n",
       "Benzin                                                      29\n",
       "Barauszahlung CHF & EUR am Postomat                         26\n",
       "Kein Zahlungsverkehr                                        22\n",
       "Bareinzahlung CHF & EUR am Postomat (EUR nur No...          15\n",
       "Standort mit Vergütung                                      14\n",
       "Annahmestelle OnTime Mail                                   11\n",
       "AdBlue                                                       9\n",
       "Bargeldbezug (max. CHF 500.-) mit PostFinance Card           9\n",
       "Annahme Swiss-Express \\                                      8\n",
       "Briefmarken sammeln                                          6\n",
       "Aufgabe Reisegepäck nicht möglich                            4\n",
       "Kooperation mit Groupe Mutuel Versicherungen                 4\n",
       "Einzahlungen (CHF und EUR) mit PostFinance Card...           2\n",
       "Bargeldbezug (CHF) mit PostFinance Card                      2\n",
       "Einzahlungen (CHF) mit PostFinance Card                      1\n",
       "Bargeldlos                                                   1\n",
       "Zahlungen am Schalter nur mit PostFinance Card               1\n",
       "Erdgas                                                       1"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_basisdaten['service_de'].value_counts().to_frame()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Hier bereinigen wir die \"0\" und entfernen die 4 fehlerhaften Einträge "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>description_de</th>\n",
       "      <th>address_city</th>\n",
       "      <th>address_kantoncode</th>\n",
       "      <th>address_zip</th>\n",
       "      <th>address_countrycode</th>\n",
       "      <th>address_street</th>\n",
       "      <th>address_gemeindeid</th>\n",
       "      <th>geopoint</th>\n",
       "      <th>poityp_de</th>\n",
       "      <th>groupename_de</th>\n",
       "      <th>service_de</th>\n",
       "      <th>Geopoint_X</th>\n",
       "      <th>Geopoint_Y</th>\n",
       "      <th>Einwohnerzahl</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>30143</th>\n",
       "      <td>Geschäftskundenstelle 5405 Baden Täfern Gewerbe</td>\n",
       "      <td>Dättwil AG</td>\n",
       "      <td>AG</td>\n",
       "      <td>5405</td>\n",
       "      <td>CH</td>\n",
       "      <td>Täfernstrasse 4</td>\n",
       "      <td>4021</td>\n",
       "      <td>47.44884262, 8.29270366</td>\n",
       "      <td>Filiale</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>47.448843</td>\n",
       "      <td>8.292704</td>\n",
       "      <td>19547.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65879</th>\n",
       "      <td>Geschäftskundenstelle 6331 Hünenberg Bösch</td>\n",
       "      <td>Hünenberg</td>\n",
       "      <td>ZG</td>\n",
       "      <td>6331</td>\n",
       "      <td>CH</td>\n",
       "      <td>Bösch 80A</td>\n",
       "      <td>1703</td>\n",
       "      <td>47.16140663, 8.4348023</td>\n",
       "      <td>Filiale</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>47.161407</td>\n",
       "      <td>8.434802</td>\n",
       "      <td>8784.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66050</th>\n",
       "      <td>Geschäftskundenstelle 8953 Dietikon Silbern</td>\n",
       "      <td>Dietikon</td>\n",
       "      <td>ZH</td>\n",
       "      <td>8953</td>\n",
       "      <td>CH</td>\n",
       "      <td>Moosmattstrasse 24</td>\n",
       "      <td>243</td>\n",
       "      <td>47.41837507, 8.39648904</td>\n",
       "      <td>Filiale</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>47.418375</td>\n",
       "      <td>8.396489</td>\n",
       "      <td>27746.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66852</th>\n",
       "      <td>Geschäftskundenstelle 1000 Lausanne avenue de ...</td>\n",
       "      <td>Lausanne</td>\n",
       "      <td>VD</td>\n",
       "      <td>1003</td>\n",
       "      <td>CH</td>\n",
       "      <td>Avenue de la Gare 43B</td>\n",
       "      <td>5586</td>\n",
       "      <td>46.51699921, 6.6318271</td>\n",
       "      <td>Filiale</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>46.516999</td>\n",
       "      <td>6.631827</td>\n",
       "      <td>139408.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                          description_de address_city  \\\n",
       "30143    Geschäftskundenstelle 5405 Baden Täfern Gewerbe   Dättwil AG   \n",
       "65879         Geschäftskundenstelle 6331 Hünenberg Bösch    Hünenberg   \n",
       "66050        Geschäftskundenstelle 8953 Dietikon Silbern     Dietikon   \n",
       "66852  Geschäftskundenstelle 1000 Lausanne avenue de ...     Lausanne   \n",
       "\n",
       "      address_kantoncode  address_zip address_countrycode  \\\n",
       "30143                 AG         5405                  CH   \n",
       "65879                 ZG         6331                  CH   \n",
       "66050                 ZH         8953                  CH   \n",
       "66852                 VD         1003                  CH   \n",
       "\n",
       "              address_street  address_gemeindeid                 geopoint  \\\n",
       "30143        Täfernstrasse 4                4021  47.44884262, 8.29270366   \n",
       "65879              Bösch 80A                1703   47.16140663, 8.4348023   \n",
       "66050     Moosmattstrasse 24                 243  47.41837507, 8.39648904   \n",
       "66852  Avenue de la Gare 43B                5586   46.51699921, 6.6318271   \n",
       "\n",
       "      poityp_de groupename_de service_de  Geopoint_X  Geopoint_Y  \\\n",
       "30143   Filiale             0          0   47.448843    8.292704   \n",
       "65879   Filiale             0          0   47.161407    8.434802   \n",
       "66050   Filiale             0          0   47.418375    8.396489   \n",
       "66852   Filiale             0          0   46.516999    6.631827   \n",
       "\n",
       "       Einwohnerzahl  \n",
       "30143        19547.0  \n",
       "65879         8784.0  \n",
       "66050        27746.0  \n",
       "66852       139408.0  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Dies sind die 4 fehlerhaften Einträge\n",
    "df_basisdaten.loc[(df_basisdaten['service_de'] == '0') & (df_basisdaten['poityp_de'] == 'Filiale')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(89853, 14)"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_basisdaten.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_basisdaten.drop(df_basisdaten.loc[(df_basisdaten['service_de'] == '0') & (df_basisdaten['poityp_de'] == 'Filiale')].index, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(89849, 14)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_basisdaten.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Hier setzen wir für die '0' den Wert 'ist_Briefkasten_Postfachanlage'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_basisdaten.replace(\"0\", \n",
    "           \"ist_Briefkasten_Postfachanlage\", \n",
    "           inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>groupename_de</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Briefe und Pakete</th>\n",
       "      <td>29807</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zahlungsverkehr</th>\n",
       "      <td>26935</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ist_Briefkasten_Postfachanlage</th>\n",
       "      <td>14795</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zusatzangebot</th>\n",
       "      <td>6769</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hinweise</th>\n",
       "      <td>5637</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dienstleistungen GK</th>\n",
       "      <td>3655</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Infrastruktur</th>\n",
       "      <td>1199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fotokopierer Schalterhalle</th>\n",
       "      <td>897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zahlungsmöglichkeit</th>\n",
       "      <td>78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kraftstoffangebote</th>\n",
       "      <td>77</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                groupename_de\n",
       "Briefe und Pakete                       29807\n",
       "Zahlungsverkehr                         26935\n",
       "ist_Briefkasten_Postfachanlage          14795\n",
       "Zusatzangebot                            6769\n",
       "Hinweise                                 5637\n",
       "Dienstleistungen GK                      3655\n",
       "Infrastruktur                            1199\n",
       "Fotokopierer Schalterhalle                897\n",
       "Zahlungsmöglichkeit                        78\n",
       "Kraftstoffangebote                         77"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_basisdaten['groupename_de'].value_counts().to_frame()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>service_de</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>ist_Briefkasten_Postfachanlage</th>\n",
       "      <td>14795</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Briefe und Pakete empfangen</th>\n",
       "      <td>5537</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Briefmarken</th>\n",
       "      <td>5350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PickPost</th>\n",
       "      <td>4025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Briefe und Pakete versenden</th>\n",
       "      <td>3658</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Swiss-Express \\</th>\n",
       "      <td>3590</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Frankieren</th>\n",
       "      <td>3545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bargeldbezug</th>\n",
       "      <td>3541</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Einzahlungen</th>\n",
       "      <td>3519</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Einzahlungen (CHF) mit Karten (PostFinance Card, Maestro, V PAY)</th>\n",
       "      <td>3517</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Annahmestelle PromoPost</th>\n",
       "      <td>3465</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bargeldbezug (max. CHF 500.-, CHF 50.- garantiert) mit PostFinance Card</th>\n",
       "      <td>1903</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Briefe und Pakete* versenden</th>\n",
       "      <td>1901</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Nur Einzahlungen Inland</th>\n",
       "      <td>1899</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>*Pakete versenden bis max. 100 x 60 x 60 cm und 30 kg (Standardpaket)</th>\n",
       "      <td>1899</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bargeldbezug (max. CHF 10'000) mit Check Hausservice oder Auszahlungsschein</th>\n",
       "      <td>1811</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Autobahnvignetten</th>\n",
       "      <td>1809</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bareinzahlungen in CHF (max. CHF 10'000)</th>\n",
       "      <td>1809</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hausservice</th>\n",
       "      <td>1808</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Einzahlungen (CHF) mit Check Hausservice oder Auszahlungsschein</th>\n",
       "      <td>1806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Beratung zum Postangebot</th>\n",
       "      <td>1635</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bareinzahlungen in CHF und EUR</th>\n",
       "      <td>1627</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Change</th>\n",
       "      <td>1625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Postshop-Artikel</th>\n",
       "      <td>1621</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tickets</th>\n",
       "      <td>1593</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bargeldbezug mit PostFinance Card und Change (CHF und EUR)</th>\n",
       "      <td>1406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Postomat</th>\n",
       "      <td>983</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Sendungen klimaneutral verschicken (pro clima)</th>\n",
       "      <td>938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Münz-Kopierer Schalterhalle</th>\n",
       "      <td>897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Audiounterstützung für Sehbehinderte</th>\n",
       "      <td>803</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bargeldbezug in EUR</th>\n",
       "      <td>800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bargeldbezug in CHF</th>\n",
       "      <td>800</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Postomat zugänglich 7/24</th>\n",
       "      <td>729</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Annahme PostPac Priority bis 16 Uhr</th>\n",
       "      <td>637</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TWINT</th>\n",
       "      <td>473</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Pakete versenden</th>\n",
       "      <td>439</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rollstuhlgängig</th>\n",
       "      <td>216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bargeldbezug mit PostFinance Card und Change (max. CHF 10'000.- / EUR 5000.-)</th>\n",
       "      <td>168</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shop-Client für die Kreditkartenabwicklung</th>\n",
       "      <td>130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SameDay Nachmittag / Abend</th>\n",
       "      <td>121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Postomat zugänglich mit Rollstuhl</th>\n",
       "      <td>117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Annahmestelle VinoLog</th>\n",
       "      <td>107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Postshop</th>\n",
       "      <td>105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Umfassende Finanzberatung</th>\n",
       "      <td>89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Annahmestelle Betreibungsurkunden</th>\n",
       "      <td>69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bargeldbezug mit PostFinance Card und Change (max. CHF 500.- / EUR 400.-)</th>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Retouren Versandhandel</th>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bareinzahlung</th>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Einzahlungen in Noten CHF</th>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PostFinance Card</th>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kredit- Debitkarten</th>\n",
       "      <td>39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Diesel</th>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Einzahlungen in Münzen CHF</th>\n",
       "      <td>38</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Einzahlungen in Noten EUR</th>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Benzin</th>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Barauszahlung CHF &amp; EUR am Postomat</th>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kein Zahlungsverkehr</th>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bareinzahlung CHF &amp; EUR am Postomat (EUR nur Noten)</th>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Standort mit Vergütung</th>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Annahmestelle OnTime Mail</th>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AdBlue</th>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bargeldbezug (max. CHF 500.-) mit PostFinance Card</th>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Annahme Swiss-Express \\</th>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Briefmarken sammeln</th>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Aufgabe Reisegepäck nicht möglich</th>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kooperation mit Groupe Mutuel Versicherungen</th>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Einzahlungen (CHF und EUR) mit PostFinance Card und Maestro-Karten</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bargeldbezug (CHF) mit PostFinance Card</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Einzahlungen (CHF) mit PostFinance Card</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bargeldlos</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Zahlungen am Schalter nur mit PostFinance Card</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Erdgas</th>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                    service_de\n",
       "ist_Briefkasten_Postfachanlage                           14795\n",
       "Briefe und Pakete empfangen                               5537\n",
       "Briefmarken                                               5350\n",
       "PickPost                                                  4025\n",
       "Briefe und Pakete versenden                               3658\n",
       "Swiss-Express \\                                           3590\n",
       "Frankieren                                                3545\n",
       "Bargeldbezug                                              3541\n",
       "Einzahlungen                                              3519\n",
       "Einzahlungen (CHF) mit Karten (PostFinance Card...        3517\n",
       "Annahmestelle PromoPost                                   3465\n",
       "Bargeldbezug (max. CHF 500.-, CHF 50.- garantie...        1903\n",
       "Briefe und Pakete* versenden                              1901\n",
       "Nur Einzahlungen Inland                                   1899\n",
       "*Pakete versenden bis max. 100 x 60 x 60 cm und...        1899\n",
       "Bargeldbezug (max. CHF 10'000) mit Check Hausse...        1811\n",
       "Autobahnvignetten                                         1809\n",
       "Bareinzahlungen in CHF (max. CHF 10'000)                  1809\n",
       "Hausservice                                               1808\n",
       "Einzahlungen (CHF) mit Check Hausservice oder A...        1806\n",
       "Beratung zum Postangebot                                  1635\n",
       "Bareinzahlungen in CHF und EUR                            1627\n",
       "Change                                                    1625\n",
       "Postshop-Artikel                                          1621\n",
       "Tickets                                                   1593\n",
       "Bargeldbezug mit PostFinance Card und Change (C...        1406\n",
       "Postomat                                                   983\n",
       "Sendungen klimaneutral verschicken (pro clima)             938\n",
       "Münz-Kopierer Schalterhalle                                897\n",
       "Audiounterstützung für Sehbehinderte                       803\n",
       "Bargeldbezug in EUR                                        800\n",
       "Bargeldbezug in CHF                                        800\n",
       "Postomat zugänglich 7/24                                   729\n",
       "Annahme PostPac Priority bis 16 Uhr                        637\n",
       "TWINT                                                      473\n",
       "Pakete versenden                                           439\n",
       "Rollstuhlgängig                                            216\n",
       "Bargeldbezug mit PostFinance Card und Change (m...         168\n",
       "Shop-Client für die Kreditkartenabwicklung                 130\n",
       "SameDay Nachmittag / Abend                                 121\n",
       "Postomat zugänglich mit Rollstuhl                          117\n",
       "Annahmestelle VinoLog                                      107\n",
       "Postshop                                                   105\n",
       "Umfassende Finanzberatung                                   89\n",
       "Annahmestelle Betreibungsurkunden                           69\n",
       "Bargeldbezug mit PostFinance Card und Change (m...          51\n",
       "Retouren Versandhandel                                      47\n",
       "Bareinzahlung                                               42\n",
       "Einzahlungen in Noten CHF                                   42\n",
       "PostFinance Card                                            39\n",
       "Kredit- Debitkarten                                         39\n",
       "Diesel                                                      38\n",
       "Einzahlungen in Münzen CHF                                  38\n",
       "Einzahlungen in Noten EUR                                   33\n",
       "Benzin                                                      29\n",
       "Barauszahlung CHF & EUR am Postomat                         26\n",
       "Kein Zahlungsverkehr                                        22\n",
       "Bareinzahlung CHF & EUR am Postomat (EUR nur No...          15\n",
       "Standort mit Vergütung                                      14\n",
       "Annahmestelle OnTime Mail                                   11\n",
       "AdBlue                                                       9\n",
       "Bargeldbezug (max. CHF 500.-) mit PostFinance Card           9\n",
       "Annahme Swiss-Express \\                                      8\n",
       "Briefmarken sammeln                                          6\n",
       "Aufgabe Reisegepäck nicht möglich                            4\n",
       "Kooperation mit Groupe Mutuel Versicherungen                 4\n",
       "Einzahlungen (CHF und EUR) mit PostFinance Card...           2\n",
       "Bargeldbezug (CHF) mit PostFinance Card                      2\n",
       "Einzahlungen (CHF) mit PostFinance Card                      1\n",
       "Bargeldlos                                                   1\n",
       "Zahlungen am Schalter nur mit PostFinance Card               1\n",
       "Erdgas                                                       1"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_basisdaten['service_de'].value_counts().to_frame()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_POI = df_basisdaten.drop(df_basisdaten[['description_de','address_city','address_zip','address_countrycode','address_street','service_de','groupename_de']], axis=1).drop_duplicates()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(21631, 7)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_POI.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Wir brauchen dieses Zwischenresultat später noch für die Analyse und daher speichern wir es in diesem df ab.\n",
    "df_POI_Analyse = df_POI"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Die Post hat am meisten Stellen, um Briefe einzuwerfen\n",
    "#Dicht gefolgt von Filialen und Standorten die Hausservice anbieten\n",
    "#Was ist Hausservice?\n",
    "#https://www.post.ch/de/standorte/hausservice#:~:text=Der%20Hausservice%20kann%20jederzeit%20von,Bargeld%20beziehen\n",
    "#Am wenigsten Standorte hat die Post für Brief- und Paketzentren"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Briefeinwurf              14257\n",
       "Filiale                    2102\n",
       "Hausservice                1805\n",
       "Postfachanlage             1794\n",
       "Postomat                    803\n",
       "PickPost-Drittstelle        506\n",
       "My Post 24                  184\n",
       "PostFinance-Standorte        89\n",
       "Post-Tankstelle              39\n",
       "Logistikzentrum Pakete       30\n",
       "Logistikzentrum Briefe       15\n",
       "Paketzentrum                  4\n",
       "Briefzentrum                  3\n",
       "Name: poityp_de, dtype: int64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_POI['poityp_de'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Wir berechnen nun Kennzahlen fuer Poststandorte in den Kantonen\n",
    "#In diesem Schritt fügen wir die Anzahl Poststandort nach POI-Typ je Kanton hinzu\n",
    "#Da es zu wenig Einträge hat verzichten wir die Logistikzentren nach Kantonen zu gruppieren\n",
    "df_POI_Filiale = df_POI.loc[(df_POI['poityp_de'] == 'Filiale')]\n",
    "df_POI_Filiale['Filiale_Kanton'] = df_POI_Filiale.groupby(['address_kantoncode'])['poityp_de'].transform('count')\n",
    "df_attach_Filiale = df_POI_Filiale[['address_kantoncode','Filiale_Kanton']].drop_duplicates().sort_values(by=['address_kantoncode'])\n",
    "df_POI = pd.merge(df_POI, df_attach_Filiale, how=\"left\", on=['address_kantoncode'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_POI_Briefeinwurf = df_POI.loc[(df_POI['poityp_de'] == 'Briefeinwurf')]\n",
    "df_POI_Briefeinwurf['Briefeinwurf_Kanton'] = df_POI_Briefeinwurf.groupby(['address_kantoncode'])['poityp_de'].transform('count')\n",
    "df_attach_Briefeinwurf = df_POI_Briefeinwurf[['address_kantoncode','Briefeinwurf_Kanton']].drop_duplicates().sort_values(by=['address_kantoncode'])\n",
    "df_POI = pd.merge(df_POI, df_attach_Briefeinwurf, how=\"left\", on=['address_kantoncode'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_POI_Hausservice = df_POI.loc[(df_POI['poityp_de'] == 'Hausservice')]\n",
    "df_POI_Hausservice['Hausservice_Kanton'] = df_POI_Hausservice.groupby(['address_kantoncode'])['poityp_de'].transform('count')\n",
    "df_attach_Hausservice = df_POI_Hausservice[['address_kantoncode','Hausservice_Kanton']].drop_duplicates().sort_values(by=['address_kantoncode'])\n",
    "df_POI = pd.merge(df_POI, df_attach_Hausservice, how=\"left\", on=['address_kantoncode'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_POI_Postfachanlage = df_POI.loc[(df_POI['poityp_de'] == 'Postfachanlage')]\n",
    "df_POI_Postfachanlage['Postfachanlage_Kanton'] = df_POI_Postfachanlage.groupby(['address_kantoncode'])['poityp_de'].transform('count')\n",
    "df_attach_Postfachanlage = df_POI_Postfachanlage[['address_kantoncode','Postfachanlage_Kanton']].drop_duplicates().sort_values(by=['address_kantoncode'])\n",
    "df_POI = pd.merge(df_POI, df_attach_Postfachanlage, how=\"left\", on=['address_kantoncode'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_POI_Postomat = df_POI.loc[(df_POI['poityp_de'] == 'Postomat')]\n",
    "df_POI_Postomat['Postomat_Kanton'] = df_POI_Postomat.groupby(['address_kantoncode'])['poityp_de'].transform('count')\n",
    "df_attach_Postomat = df_POI_Postomat[['address_kantoncode','Postomat_Kanton']].drop_duplicates().sort_values(by=['address_kantoncode'])\n",
    "df_POI = pd.merge(df_POI, df_attach_Postomat, how=\"left\", on=['address_kantoncode'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_POI_PickPost_Drittstelle = df_POI.loc[(df_POI['poityp_de'] == 'PickPost-Drittstelle')]\n",
    "df_POI_PickPost_Drittstelle['PickPost-Drittstelle_Kanton'] = df_POI_PickPost_Drittstelle.groupby(['address_kantoncode'])['poityp_de'].transform('count')\n",
    "df_attach_PickPost_Drittstelle = df_POI_PickPost_Drittstelle[['address_kantoncode','PickPost-Drittstelle_Kanton']].drop_duplicates().sort_values(by=['address_kantoncode'])\n",
    "df_POI = pd.merge(df_POI, df_attach_PickPost_Drittstelle, how=\"left\", on=['address_kantoncode'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_POI_My_Post_24 = df_POI.loc[(df_POI['poityp_de'] == 'My Post 24')]\n",
    "df_POI_My_Post_24['My_Post_24_Kanton'] = df_POI_My_Post_24.groupby(['address_kantoncode'])['poityp_de'].transform('count')\n",
    "df_attach_My_Post_24= df_POI_My_Post_24[['address_kantoncode','My_Post_24_Kanton']].drop_duplicates().sort_values(by=['address_kantoncode'])\n",
    "df_POI = pd.merge(df_POI, df_attach_My_Post_24, how=\"left\", on=['address_kantoncode'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_POI_PostFinance_Standorte = df_POI.loc[(df_POI['poityp_de'] == 'PostFinance-Standorte')]\n",
    "df_POI_PostFinance_Standorte['PostFinance-Standorte_Kanton'] = df_POI_PostFinance_Standorte.groupby(['address_kantoncode'])['poityp_de'].transform('count')\n",
    "df_attach_PostFinance_Standorte= df_POI_PostFinance_Standorte[['address_kantoncode','PostFinance-Standorte_Kanton']].drop_duplicates().sort_values(by=['address_kantoncode'])\n",
    "df_POI = pd.merge(df_POI, df_attach_PostFinance_Standorte, how=\"left\", on=['address_kantoncode'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_POI_Post_Tankstelle = df_POI.loc[(df_POI['poityp_de'] == 'Post-Tankstelle')]\n",
    "df_POI_Post_Tankstelle['Post-Tankstelle_Kanton'] = df_POI_Post_Tankstelle.groupby(['address_kantoncode'])['poityp_de'].transform('count')\n",
    "df_attach_Post_Tankstelle= df_POI_Post_Tankstelle[['address_kantoncode','Post-Tankstelle_Kanton']].drop_duplicates().sort_values(by=['address_kantoncode'])\n",
    "df_POI = pd.merge(df_POI, df_attach_Post_Tankstelle, how=\"left\", on=['address_kantoncode'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Wir berechnen nun die Anzahl einzigartiger Standorte pro Kanton\n",
    "df_POI = df_POI.drop(df_POI[['poityp_de']], axis=1).drop_duplicates()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_POI['POI_Kanton'] = df_POI.groupby(['address_kantoncode'])['geopoint'].transform('count')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Wir berechnen nun die Anzahl Einwohner pro Kanton\n",
    "df_POI = df_POI.drop(df_POI[['geopoint','Geopoint_X','Geopoint_Y']], axis=1).drop_duplicates()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_POI['Einwohner_Kanton'] = df_POI.groupby(['address_kantoncode'])['Einwohnerzahl'].transform('sum')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_Kanton = df_POI.drop(df_POI[['address_gemeindeid','Einwohnerzahl']], axis=1).drop_duplicates().sort_values(by=['address_kantoncode'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Wir entfernen noch IT und FL aus dem Datensatz und konzentrieren uns rein auf die Schweizer Kantone\n",
    "df_Kanton.drop(df_Kanton.loc[(df_Kanton['address_kantoncode'] == 'IT')].index, inplace=True)\n",
    "df_Kanton.drop(df_Kanton.loc[(df_Kanton['address_kantoncode'] == 'FL')].index, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Filiale_Kanton</th>\n",
       "      <th>Briefeinwurf_Kanton</th>\n",
       "      <th>Hausservice_Kanton</th>\n",
       "      <th>Postfachanlage_Kanton</th>\n",
       "      <th>Postomat_Kanton</th>\n",
       "      <th>PickPost-Drittstelle_Kanton</th>\n",
       "      <th>My_Post_24_Kanton</th>\n",
       "      <th>PostFinance-Standorte_Kanton</th>\n",
       "      <th>Post-Tankstelle_Kanton</th>\n",
       "      <th>POI_Kanton</th>\n",
       "      <th>Einwohner_Kanton</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>address_kantoncode</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AG</th>\n",
       "      <td>174.0</td>\n",
       "      <td>904.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>143.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1199</td>\n",
       "      <td>687597.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AI</th>\n",
       "      <td>2.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>32</td>\n",
       "      <td>16128.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AR</th>\n",
       "      <td>21.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>127</td>\n",
       "      <td>59489.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BE</th>\n",
       "      <td>274.0</td>\n",
       "      <td>2187.0</td>\n",
       "      <td>265.0</td>\n",
       "      <td>217.0</td>\n",
       "      <td>122.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2787</td>\n",
       "      <td>1041563.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BL</th>\n",
       "      <td>53.0</td>\n",
       "      <td>346.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>458</td>\n",
       "      <td>289468.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BS</th>\n",
       "      <td>26.0</td>\n",
       "      <td>221.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>272</td>\n",
       "      <td>207948.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FR</th>\n",
       "      <td>89.0</td>\n",
       "      <td>590.0</td>\n",
       "      <td>193.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>875</td>\n",
       "      <td>321357.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GE</th>\n",
       "      <td>66.0</td>\n",
       "      <td>491.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>587</td>\n",
       "      <td>504128.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GL</th>\n",
       "      <td>17.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>115</td>\n",
       "      <td>44466.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GR</th>\n",
       "      <td>129.0</td>\n",
       "      <td>643.0</td>\n",
       "      <td>158.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>936</td>\n",
       "      <td>199021.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JU</th>\n",
       "      <td>37.0</td>\n",
       "      <td>192.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>271</td>\n",
       "      <td>73584.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LU</th>\n",
       "      <td>98.0</td>\n",
       "      <td>557.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>725</td>\n",
       "      <td>413120.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NE</th>\n",
       "      <td>47.0</td>\n",
       "      <td>296.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>389</td>\n",
       "      <td>176496.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NW</th>\n",
       "      <td>10.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>87</td>\n",
       "      <td>43087.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OW</th>\n",
       "      <td>10.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>103</td>\n",
       "      <td>37930.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SG</th>\n",
       "      <td>131.0</td>\n",
       "      <td>663.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>118.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>897</td>\n",
       "      <td>510734.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SH</th>\n",
       "      <td>23.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>178</td>\n",
       "      <td>82348.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SO</th>\n",
       "      <td>74.0</td>\n",
       "      <td>457.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>594</td>\n",
       "      <td>275746.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SZ</th>\n",
       "      <td>34.0</td>\n",
       "      <td>204.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>255</td>\n",
       "      <td>160480.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TG</th>\n",
       "      <td>71.0</td>\n",
       "      <td>468.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>677</td>\n",
       "      <td>291527.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TI</th>\n",
       "      <td>145.0</td>\n",
       "      <td>899.0</td>\n",
       "      <td>173.0</td>\n",
       "      <td>168.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1250</td>\n",
       "      <td>352332.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UR</th>\n",
       "      <td>18.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>97</td>\n",
       "      <td>36703.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VD</th>\n",
       "      <td>177.0</td>\n",
       "      <td>1448.0</td>\n",
       "      <td>261.0</td>\n",
       "      <td>155.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1940</td>\n",
       "      <td>805098.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VS</th>\n",
       "      <td>133.0</td>\n",
       "      <td>948.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>111.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1163</td>\n",
       "      <td>345525.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZG</th>\n",
       "      <td>17.0</td>\n",
       "      <td>148.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>178</td>\n",
       "      <td>127642.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZH</th>\n",
       "      <td>226.0</td>\n",
       "      <td>1971.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>171.0</td>\n",
       "      <td>136.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2414</td>\n",
       "      <td>1551661.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Filiale_Kanton  Briefeinwurf_Kanton  Hausservice_Kanton  \\\n",
       "address_kantoncode                                                            \n",
       "AG                           174.0                904.0                68.0   \n",
       "AI                             2.0                 19.0                12.0   \n",
       "AR                            21.0                 83.0                16.0   \n",
       "BE                           274.0               2187.0               265.0   \n",
       "BL                            53.0                346.0                38.0   \n",
       "BS                            26.0                221.0                 0.0   \n",
       "FR                            89.0                590.0               193.0   \n",
       "GE                            66.0                491.0                11.0   \n",
       "GL                            17.0                 99.0                11.0   \n",
       "GR                           129.0                643.0               158.0   \n",
       "JU                            37.0                192.0                53.0   \n",
       "LU                            98.0                557.0                43.0   \n",
       "NE                            47.0                296.0                47.0   \n",
       "NW                            10.0                 56.0                13.0   \n",
       "OW                            10.0                 72.0                18.0   \n",
       "SG                           131.0                663.0                57.0   \n",
       "SH                            23.0                137.0                16.0   \n",
       "SO                            74.0                457.0                58.0   \n",
       "SZ                            34.0                204.0                15.0   \n",
       "TG                            71.0                468.0               100.0   \n",
       "TI                           145.0                899.0               173.0   \n",
       "UR                            18.0                 76.0                 8.0   \n",
       "VD                           177.0               1448.0               261.0   \n",
       "VS                           133.0                948.0               104.0   \n",
       "ZG                            17.0                148.0                 3.0   \n",
       "ZH                           226.0               1971.0                64.0   \n",
       "\n",
       "                    Postfachanlage_Kanton  Postomat_Kanton  \\\n",
       "address_kantoncode                                           \n",
       "AG                                  143.0             64.0   \n",
       "AI                                    2.0              1.0   \n",
       "AR                                   20.0              5.0   \n",
       "BE                                  217.0            122.0   \n",
       "BL                                   42.0             28.0   \n",
       "BS                                   11.0             24.0   \n",
       "FR                                   80.0             23.0   \n",
       "GE                                   51.0             38.0   \n",
       "GL                                   13.0              3.0   \n",
       "GR                                  107.0             25.0   \n",
       "JU                                   34.0              6.0   \n",
       "LU                                   73.0             39.0   \n",
       "NE                                   35.0             19.0   \n",
       "NW                                   10.0              4.0   \n",
       "OW                                   10.0              3.0   \n",
       "SG                                  118.0             47.0   \n",
       "SH                                   18.0              9.0   \n",
       "SO                                   67.0             30.0   \n",
       "SZ                                   33.0             10.0   \n",
       "TG                                   60.0             18.0   \n",
       "TI                                  168.0             37.0   \n",
       "UR                                   18.0              3.0   \n",
       "VD                                  155.0             69.0   \n",
       "VS                                  111.0             31.0   \n",
       "ZG                                   16.0              8.0   \n",
       "ZH                                  171.0            136.0   \n",
       "\n",
       "                    PickPost-Drittstelle_Kanton  My_Post_24_Kanton  \\\n",
       "address_kantoncode                                                   \n",
       "AG                                         36.0               15.0   \n",
       "AI                                          1.0                1.0   \n",
       "AR                                          3.0                0.0   \n",
       "BE                                         62.0               23.0   \n",
       "BL                                         11.0                7.0   \n",
       "BS                                          8.0                5.0   \n",
       "FR                                         23.0                8.0   \n",
       "GE                                          9.0                7.0   \n",
       "GL                                          0.0                1.0   \n",
       "GR                                         24.0                2.0   \n",
       "JU                                          3.0                1.0   \n",
       "LU                                         36.0                6.0   \n",
       "NE                                         12.0                5.0   \n",
       "NW                                          3.0                1.0   \n",
       "OW                                          2.0                1.0   \n",
       "SG                                         44.0                8.0   \n",
       "SH                                          8.0                2.0   \n",
       "SO                                          6.0                6.0   \n",
       "SZ                                          8.0                2.0   \n",
       "TG                                         20.0                7.0   \n",
       "TI                                         26.0                9.0   \n",
       "UR                                          2.0                0.0   \n",
       "VD                                         52.0               15.0   \n",
       "VS                                         12.0                5.0   \n",
       "ZG                                          6.0                6.0   \n",
       "ZH                                         89.0               41.0   \n",
       "\n",
       "                    PostFinance-Standorte_Kanton  Post-Tankstelle_Kanton  \\\n",
       "address_kantoncode                                                         \n",
       "AG                                           7.0                     1.0   \n",
       "AI                                           0.0                     0.0   \n",
       "AR                                           1.0                     1.0   \n",
       "BE                                          12.0                     5.0   \n",
       "BL                                           3.0                     3.0   \n",
       "BS                                           2.0                     1.0   \n",
       "FR                                           3.0                     1.0   \n",
       "GE                                           2.0                     0.0   \n",
       "GL                                           1.0                     0.0   \n",
       "GR                                           4.0                     5.0   \n",
       "JU                                           2.0                     0.0   \n",
       "LU                                           2.0                     2.0   \n",
       "NE                                           2.0                     0.0   \n",
       "NW                                           1.0                     0.0   \n",
       "OW                                           0.0                     0.0   \n",
       "SG                                           5.0                     5.0   \n",
       "SH                                           1.0                     1.0   \n",
       "SO                                           3.0                     1.0   \n",
       "SZ                                           1.0                     0.0   \n",
       "TG                                           3.0                     2.0   \n",
       "TI                                           5.0                     3.0   \n",
       "UR                                           1.0                     0.0   \n",
       "VD                                           9.0                     3.0   \n",
       "VS                                           5.0                     2.0   \n",
       "ZG                                           1.0                     0.0   \n",
       "ZH                                          13.0                     3.0   \n",
       "\n",
       "                    POI_Kanton  Einwohner_Kanton  \n",
       "address_kantoncode                                \n",
       "AG                        1199          687597.0  \n",
       "AI                          32           16128.0  \n",
       "AR                         127           59489.0  \n",
       "BE                        2787         1041563.0  \n",
       "BL                         458          289468.0  \n",
       "BS                         272          207948.0  \n",
       "FR                         875          321357.0  \n",
       "GE                         587          504128.0  \n",
       "GL                         115           44466.0  \n",
       "GR                         936          199021.0  \n",
       "JU                         271           73584.0  \n",
       "LU                         725          413120.0  \n",
       "NE                         389          176496.0  \n",
       "NW                          87           43087.0  \n",
       "OW                         103           37930.0  \n",
       "SG                         897          510734.0  \n",
       "SH                         178           82348.0  \n",
       "SO                         594          275746.0  \n",
       "SZ                         255          160480.0  \n",
       "TG                         677          291527.0  \n",
       "TI                        1250          352332.0  \n",
       "UR                          97           36703.0  \n",
       "VD                        1940          805098.0  \n",
       "VS                        1163          345525.0  \n",
       "ZG                         178          127642.0  \n",
       "ZH                        2414         1551661.0  "
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Hier ersetzen wir die nan noch mit 0\n",
    "df_Kanton = df_Kanton.replace(np.nan, 0)\n",
    "df_Kanton= df_Kanton.set_index('address_kantoncode')\n",
    "df_Kanton"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Wir berechnen hier die Briefkasten und Filialen pro Einwohner\n",
    "sum_briefkasten = df_Kanton['Einwohner_Kanton'] / df_Kanton['Briefeinwurf_Kanton']\n",
    "df_Kanton['Briefkasten_pro_Einwohner'] = sum_briefkasten\n",
    "sum_filiale = df_Kanton['Einwohner_Kanton'] / df_Kanton['Filiale_Kanton']\n",
    "df_Kanton['Filiale_pro_Einwohner'] = sum_filiale"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Filiale_Kanton</th>\n",
       "      <th>Briefeinwurf_Kanton</th>\n",
       "      <th>Hausservice_Kanton</th>\n",
       "      <th>Postfachanlage_Kanton</th>\n",
       "      <th>Postomat_Kanton</th>\n",
       "      <th>PickPost-Drittstelle_Kanton</th>\n",
       "      <th>My_Post_24_Kanton</th>\n",
       "      <th>PostFinance-Standorte_Kanton</th>\n",
       "      <th>Post-Tankstelle_Kanton</th>\n",
       "      <th>POI_Kanton</th>\n",
       "      <th>Einwohner_Kanton</th>\n",
       "      <th>Briefkasten_pro_Einwohner</th>\n",
       "      <th>Filiale_pro_Einwohner</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>address_kantoncode</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>AG</th>\n",
       "      <td>174.0</td>\n",
       "      <td>904.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>143.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1199</td>\n",
       "      <td>687597.0</td>\n",
       "      <td>760.616150</td>\n",
       "      <td>3951.706897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AI</th>\n",
       "      <td>2.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>32</td>\n",
       "      <td>16128.0</td>\n",
       "      <td>848.842105</td>\n",
       "      <td>8064.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AR</th>\n",
       "      <td>21.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>127</td>\n",
       "      <td>59489.0</td>\n",
       "      <td>716.734940</td>\n",
       "      <td>2832.809524</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BE</th>\n",
       "      <td>274.0</td>\n",
       "      <td>2187.0</td>\n",
       "      <td>265.0</td>\n",
       "      <td>217.0</td>\n",
       "      <td>122.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2787</td>\n",
       "      <td>1041563.0</td>\n",
       "      <td>476.251943</td>\n",
       "      <td>3801.324818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BL</th>\n",
       "      <td>53.0</td>\n",
       "      <td>346.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>458</td>\n",
       "      <td>289468.0</td>\n",
       "      <td>836.612717</td>\n",
       "      <td>5461.660377</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BS</th>\n",
       "      <td>26.0</td>\n",
       "      <td>221.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>272</td>\n",
       "      <td>207948.0</td>\n",
       "      <td>940.941176</td>\n",
       "      <td>7998.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FR</th>\n",
       "      <td>89.0</td>\n",
       "      <td>590.0</td>\n",
       "      <td>193.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>23.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>875</td>\n",
       "      <td>321357.0</td>\n",
       "      <td>544.672881</td>\n",
       "      <td>3610.752809</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GE</th>\n",
       "      <td>66.0</td>\n",
       "      <td>491.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>587</td>\n",
       "      <td>504128.0</td>\n",
       "      <td>1026.737271</td>\n",
       "      <td>7638.303030</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GL</th>\n",
       "      <td>17.0</td>\n",
       "      <td>99.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>115</td>\n",
       "      <td>44466.0</td>\n",
       "      <td>449.151515</td>\n",
       "      <td>2615.647059</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>GR</th>\n",
       "      <td>129.0</td>\n",
       "      <td>643.0</td>\n",
       "      <td>158.0</td>\n",
       "      <td>107.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>936</td>\n",
       "      <td>199021.0</td>\n",
       "      <td>309.519440</td>\n",
       "      <td>1542.798450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JU</th>\n",
       "      <td>37.0</td>\n",
       "      <td>192.0</td>\n",
       "      <td>53.0</td>\n",
       "      <td>34.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>271</td>\n",
       "      <td>73584.0</td>\n",
       "      <td>383.250000</td>\n",
       "      <td>1988.756757</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LU</th>\n",
       "      <td>98.0</td>\n",
       "      <td>557.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>725</td>\n",
       "      <td>413120.0</td>\n",
       "      <td>741.687612</td>\n",
       "      <td>4215.510204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NE</th>\n",
       "      <td>47.0</td>\n",
       "      <td>296.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>35.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>389</td>\n",
       "      <td>176496.0</td>\n",
       "      <td>596.270270</td>\n",
       "      <td>3755.234043</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NW</th>\n",
       "      <td>10.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>87</td>\n",
       "      <td>43087.0</td>\n",
       "      <td>769.410714</td>\n",
       "      <td>4308.700000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>OW</th>\n",
       "      <td>10.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>103</td>\n",
       "      <td>37930.0</td>\n",
       "      <td>526.805556</td>\n",
       "      <td>3793.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SG</th>\n",
       "      <td>131.0</td>\n",
       "      <td>663.0</td>\n",
       "      <td>57.0</td>\n",
       "      <td>118.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>897</td>\n",
       "      <td>510734.0</td>\n",
       "      <td>770.337858</td>\n",
       "      <td>3898.732824</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SH</th>\n",
       "      <td>23.0</td>\n",
       "      <td>137.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>178</td>\n",
       "      <td>82348.0</td>\n",
       "      <td>601.080292</td>\n",
       "      <td>3580.347826</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SO</th>\n",
       "      <td>74.0</td>\n",
       "      <td>457.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>594</td>\n",
       "      <td>275746.0</td>\n",
       "      <td>603.382932</td>\n",
       "      <td>3726.297297</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SZ</th>\n",
       "      <td>34.0</td>\n",
       "      <td>204.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>255</td>\n",
       "      <td>160480.0</td>\n",
       "      <td>786.666667</td>\n",
       "      <td>4720.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TG</th>\n",
       "      <td>71.0</td>\n",
       "      <td>468.0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>677</td>\n",
       "      <td>291527.0</td>\n",
       "      <td>622.920940</td>\n",
       "      <td>4106.014085</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TI</th>\n",
       "      <td>145.0</td>\n",
       "      <td>899.0</td>\n",
       "      <td>173.0</td>\n",
       "      <td>168.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1250</td>\n",
       "      <td>352332.0</td>\n",
       "      <td>391.915462</td>\n",
       "      <td>2429.875862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>UR</th>\n",
       "      <td>18.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>97</td>\n",
       "      <td>36703.0</td>\n",
       "      <td>482.934211</td>\n",
       "      <td>2039.055556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VD</th>\n",
       "      <td>177.0</td>\n",
       "      <td>1448.0</td>\n",
       "      <td>261.0</td>\n",
       "      <td>155.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1940</td>\n",
       "      <td>805098.0</td>\n",
       "      <td>556.006906</td>\n",
       "      <td>4548.576271</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VS</th>\n",
       "      <td>133.0</td>\n",
       "      <td>948.0</td>\n",
       "      <td>104.0</td>\n",
       "      <td>111.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1163</td>\n",
       "      <td>345525.0</td>\n",
       "      <td>364.477848</td>\n",
       "      <td>2597.932331</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZG</th>\n",
       "      <td>17.0</td>\n",
       "      <td>148.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>178</td>\n",
       "      <td>127642.0</td>\n",
       "      <td>862.445946</td>\n",
       "      <td>7508.352941</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ZH</th>\n",
       "      <td>226.0</td>\n",
       "      <td>1971.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>171.0</td>\n",
       "      <td>136.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2414</td>\n",
       "      <td>1551661.0</td>\n",
       "      <td>787.245561</td>\n",
       "      <td>6865.756637</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Filiale_Kanton  Briefeinwurf_Kanton  Hausservice_Kanton  \\\n",
       "address_kantoncode                                                            \n",
       "AG                           174.0                904.0                68.0   \n",
       "AI                             2.0                 19.0                12.0   \n",
       "AR                            21.0                 83.0                16.0   \n",
       "BE                           274.0               2187.0               265.0   \n",
       "BL                            53.0                346.0                38.0   \n",
       "BS                            26.0                221.0                 0.0   \n",
       "FR                            89.0                590.0               193.0   \n",
       "GE                            66.0                491.0                11.0   \n",
       "GL                            17.0                 99.0                11.0   \n",
       "GR                           129.0                643.0               158.0   \n",
       "JU                            37.0                192.0                53.0   \n",
       "LU                            98.0                557.0                43.0   \n",
       "NE                            47.0                296.0                47.0   \n",
       "NW                            10.0                 56.0                13.0   \n",
       "OW                            10.0                 72.0                18.0   \n",
       "SG                           131.0                663.0                57.0   \n",
       "SH                            23.0                137.0                16.0   \n",
       "SO                            74.0                457.0                58.0   \n",
       "SZ                            34.0                204.0                15.0   \n",
       "TG                            71.0                468.0               100.0   \n",
       "TI                           145.0                899.0               173.0   \n",
       "UR                            18.0                 76.0                 8.0   \n",
       "VD                           177.0               1448.0               261.0   \n",
       "VS                           133.0                948.0               104.0   \n",
       "ZG                            17.0                148.0                 3.0   \n",
       "ZH                           226.0               1971.0                64.0   \n",
       "\n",
       "                    Postfachanlage_Kanton  Postomat_Kanton  \\\n",
       "address_kantoncode                                           \n",
       "AG                                  143.0             64.0   \n",
       "AI                                    2.0              1.0   \n",
       "AR                                   20.0              5.0   \n",
       "BE                                  217.0            122.0   \n",
       "BL                                   42.0             28.0   \n",
       "BS                                   11.0             24.0   \n",
       "FR                                   80.0             23.0   \n",
       "GE                                   51.0             38.0   \n",
       "GL                                   13.0              3.0   \n",
       "GR                                  107.0             25.0   \n",
       "JU                                   34.0              6.0   \n",
       "LU                                   73.0             39.0   \n",
       "NE                                   35.0             19.0   \n",
       "NW                                   10.0              4.0   \n",
       "OW                                   10.0              3.0   \n",
       "SG                                  118.0             47.0   \n",
       "SH                                   18.0              9.0   \n",
       "SO                                   67.0             30.0   \n",
       "SZ                                   33.0             10.0   \n",
       "TG                                   60.0             18.0   \n",
       "TI                                  168.0             37.0   \n",
       "UR                                   18.0              3.0   \n",
       "VD                                  155.0             69.0   \n",
       "VS                                  111.0             31.0   \n",
       "ZG                                   16.0              8.0   \n",
       "ZH                                  171.0            136.0   \n",
       "\n",
       "                    PickPost-Drittstelle_Kanton  My_Post_24_Kanton  \\\n",
       "address_kantoncode                                                   \n",
       "AG                                         36.0               15.0   \n",
       "AI                                          1.0                1.0   \n",
       "AR                                          3.0                0.0   \n",
       "BE                                         62.0               23.0   \n",
       "BL                                         11.0                7.0   \n",
       "BS                                          8.0                5.0   \n",
       "FR                                         23.0                8.0   \n",
       "GE                                          9.0                7.0   \n",
       "GL                                          0.0                1.0   \n",
       "GR                                         24.0                2.0   \n",
       "JU                                          3.0                1.0   \n",
       "LU                                         36.0                6.0   \n",
       "NE                                         12.0                5.0   \n",
       "NW                                          3.0                1.0   \n",
       "OW                                          2.0                1.0   \n",
       "SG                                         44.0                8.0   \n",
       "SH                                          8.0                2.0   \n",
       "SO                                          6.0                6.0   \n",
       "SZ                                          8.0                2.0   \n",
       "TG                                         20.0                7.0   \n",
       "TI                                         26.0                9.0   \n",
       "UR                                          2.0                0.0   \n",
       "VD                                         52.0               15.0   \n",
       "VS                                         12.0                5.0   \n",
       "ZG                                          6.0                6.0   \n",
       "ZH                                         89.0               41.0   \n",
       "\n",
       "                    PostFinance-Standorte_Kanton  Post-Tankstelle_Kanton  \\\n",
       "address_kantoncode                                                         \n",
       "AG                                           7.0                     1.0   \n",
       "AI                                           0.0                     0.0   \n",
       "AR                                           1.0                     1.0   \n",
       "BE                                          12.0                     5.0   \n",
       "BL                                           3.0                     3.0   \n",
       "BS                                           2.0                     1.0   \n",
       "FR                                           3.0                     1.0   \n",
       "GE                                           2.0                     0.0   \n",
       "GL                                           1.0                     0.0   \n",
       "GR                                           4.0                     5.0   \n",
       "JU                                           2.0                     0.0   \n",
       "LU                                           2.0                     2.0   \n",
       "NE                                           2.0                     0.0   \n",
       "NW                                           1.0                     0.0   \n",
       "OW                                           0.0                     0.0   \n",
       "SG                                           5.0                     5.0   \n",
       "SH                                           1.0                     1.0   \n",
       "SO                                           3.0                     1.0   \n",
       "SZ                                           1.0                     0.0   \n",
       "TG                                           3.0                     2.0   \n",
       "TI                                           5.0                     3.0   \n",
       "UR                                           1.0                     0.0   \n",
       "VD                                           9.0                     3.0   \n",
       "VS                                           5.0                     2.0   \n",
       "ZG                                           1.0                     0.0   \n",
       "ZH                                          13.0                     3.0   \n",
       "\n",
       "                    POI_Kanton  Einwohner_Kanton  Briefkasten_pro_Einwohner  \\\n",
       "address_kantoncode                                                            \n",
       "AG                        1199          687597.0                 760.616150   \n",
       "AI                          32           16128.0                 848.842105   \n",
       "AR                         127           59489.0                 716.734940   \n",
       "BE                        2787         1041563.0                 476.251943   \n",
       "BL                         458          289468.0                 836.612717   \n",
       "BS                         272          207948.0                 940.941176   \n",
       "FR                         875          321357.0                 544.672881   \n",
       "GE                         587          504128.0                1026.737271   \n",
       "GL                         115           44466.0                 449.151515   \n",
       "GR                         936          199021.0                 309.519440   \n",
       "JU                         271           73584.0                 383.250000   \n",
       "LU                         725          413120.0                 741.687612   \n",
       "NE                         389          176496.0                 596.270270   \n",
       "NW                          87           43087.0                 769.410714   \n",
       "OW                         103           37930.0                 526.805556   \n",
       "SG                         897          510734.0                 770.337858   \n",
       "SH                         178           82348.0                 601.080292   \n",
       "SO                         594          275746.0                 603.382932   \n",
       "SZ                         255          160480.0                 786.666667   \n",
       "TG                         677          291527.0                 622.920940   \n",
       "TI                        1250          352332.0                 391.915462   \n",
       "UR                          97           36703.0                 482.934211   \n",
       "VD                        1940          805098.0                 556.006906   \n",
       "VS                        1163          345525.0                 364.477848   \n",
       "ZG                         178          127642.0                 862.445946   \n",
       "ZH                        2414         1551661.0                 787.245561   \n",
       "\n",
       "                    Filiale_pro_Einwohner  \n",
       "address_kantoncode                         \n",
       "AG                            3951.706897  \n",
       "AI                            8064.000000  \n",
       "AR                            2832.809524  \n",
       "BE                            3801.324818  \n",
       "BL                            5461.660377  \n",
       "BS                            7998.000000  \n",
       "FR                            3610.752809  \n",
       "GE                            7638.303030  \n",
       "GL                            2615.647059  \n",
       "GR                            1542.798450  \n",
       "JU                            1988.756757  \n",
       "LU                            4215.510204  \n",
       "NE                            3755.234043  \n",
       "NW                            4308.700000  \n",
       "OW                            3793.000000  \n",
       "SG                            3898.732824  \n",
       "SH                            3580.347826  \n",
       "SO                            3726.297297  \n",
       "SZ                            4720.000000  \n",
       "TG                            4106.014085  \n",
       "TI                            2429.875862  \n",
       "UR                            2039.055556  \n",
       "VD                            4548.576271  \n",
       "VS                            2597.932331  \n",
       "ZG                            7508.352941  \n",
       "ZH                            6865.756637  "
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_Kanton"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Filiale_Kanton</th>\n",
       "      <th>Briefeinwurf_Kanton</th>\n",
       "      <th>Hausservice_Kanton</th>\n",
       "      <th>Postfachanlage_Kanton</th>\n",
       "      <th>Postomat_Kanton</th>\n",
       "      <th>PickPost-Drittstelle_Kanton</th>\n",
       "      <th>My_Post_24_Kanton</th>\n",
       "      <th>PostFinance-Standorte_Kanton</th>\n",
       "      <th>Post-Tankstelle_Kanton</th>\n",
       "      <th>POI_Kanton</th>\n",
       "      <th>Einwohner_Kanton</th>\n",
       "      <th>Briefkasten_pro_Einwohner</th>\n",
       "      <th>Filiale_pro_Einwohner</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>26.000000</td>\n",
       "      <td>26.000000</td>\n",
       "      <td>26.000000</td>\n",
       "      <td>26.000000</td>\n",
       "      <td>26.000000</td>\n",
       "      <td>26.000000</td>\n",
       "      <td>26.000000</td>\n",
       "      <td>26.000000</td>\n",
       "      <td>26.000000</td>\n",
       "      <td>26.000000</td>\n",
       "      <td>2.600000e+01</td>\n",
       "      <td>26.000000</td>\n",
       "      <td>26.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>80.846154</td>\n",
       "      <td>545.192308</td>\n",
       "      <td>69.423077</td>\n",
       "      <td>68.576923</td>\n",
       "      <td>30.846154</td>\n",
       "      <td>19.461538</td>\n",
       "      <td>7.076923</td>\n",
       "      <td>3.423077</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>715.615385</td>\n",
       "      <td>3.328915e+05</td>\n",
       "      <td>644.496881</td>\n",
       "      <td>4292.274831</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>72.945839</td>\n",
       "      <td>570.870495</td>\n",
       "      <td>77.801888</td>\n",
       "      <td>61.286327</td>\n",
       "      <td>34.322811</td>\n",
       "      <td>22.018594</td>\n",
       "      <td>8.749505</td>\n",
       "      <td>3.419627</td>\n",
       "      <td>1.679286</td>\n",
       "      <td>727.154788</td>\n",
       "      <td>3.571095e+05</td>\n",
       "      <td>191.162848</td>\n",
       "      <td>1890.413953</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>2.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>32.000000</td>\n",
       "      <td>1.612800e+04</td>\n",
       "      <td>309.519440</td>\n",
       "      <td>1542.798450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>21.500000</td>\n",
       "      <td>139.750000</td>\n",
       "      <td>13.500000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>6.500000</td>\n",
       "      <td>3.750000</td>\n",
       "      <td>1.250000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>178.000000</td>\n",
       "      <td>7.577500e+04</td>\n",
       "      <td>493.902047</td>\n",
       "      <td>3019.694099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>59.500000</td>\n",
       "      <td>401.500000</td>\n",
       "      <td>45.000000</td>\n",
       "      <td>46.500000</td>\n",
       "      <td>23.500000</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>5.500000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>522.500000</td>\n",
       "      <td>2.418470e+05</td>\n",
       "      <td>613.151936</td>\n",
       "      <td>3850.028821</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>130.500000</td>\n",
       "      <td>658.000000</td>\n",
       "      <td>92.000000</td>\n",
       "      <td>110.000000</td>\n",
       "      <td>37.750000</td>\n",
       "      <td>25.500000</td>\n",
       "      <td>7.750000</td>\n",
       "      <td>4.750000</td>\n",
       "      <td>2.750000</td>\n",
       "      <td>926.250000</td>\n",
       "      <td>3.979230e+05</td>\n",
       "      <td>782.584465</td>\n",
       "      <td>4677.144068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>274.000000</td>\n",
       "      <td>2187.000000</td>\n",
       "      <td>265.000000</td>\n",
       "      <td>217.000000</td>\n",
       "      <td>136.000000</td>\n",
       "      <td>89.000000</td>\n",
       "      <td>41.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>2787.000000</td>\n",
       "      <td>1.551661e+06</td>\n",
       "      <td>1026.737271</td>\n",
       "      <td>8064.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Filiale_Kanton  Briefeinwurf_Kanton  Hausservice_Kanton  \\\n",
       "count       26.000000            26.000000           26.000000   \n",
       "mean        80.846154           545.192308           69.423077   \n",
       "std         72.945839           570.870495           77.801888   \n",
       "min          2.000000            19.000000            0.000000   \n",
       "25%         21.500000           139.750000           13.500000   \n",
       "50%         59.500000           401.500000           45.000000   \n",
       "75%        130.500000           658.000000           92.000000   \n",
       "max        274.000000          2187.000000          265.000000   \n",
       "\n",
       "       Postfachanlage_Kanton  Postomat_Kanton  PickPost-Drittstelle_Kanton  \\\n",
       "count              26.000000        26.000000                    26.000000   \n",
       "mean               68.576923        30.846154                    19.461538   \n",
       "std                61.286327        34.322811                    22.018594   \n",
       "min                 2.000000         1.000000                     0.000000   \n",
       "25%                18.000000         6.500000                     3.750000   \n",
       "50%                46.500000        23.500000                    10.000000   \n",
       "75%               110.000000        37.750000                    25.500000   \n",
       "max               217.000000       136.000000                    89.000000   \n",
       "\n",
       "       My_Post_24_Kanton  PostFinance-Standorte_Kanton  \\\n",
       "count          26.000000                     26.000000   \n",
       "mean            7.076923                      3.423077   \n",
       "std             8.749505                      3.419627   \n",
       "min             0.000000                      0.000000   \n",
       "25%             1.250000                      1.000000   \n",
       "50%             5.500000                      2.000000   \n",
       "75%             7.750000                      4.750000   \n",
       "max            41.000000                     13.000000   \n",
       "\n",
       "       Post-Tankstelle_Kanton   POI_Kanton  Einwohner_Kanton  \\\n",
       "count               26.000000    26.000000      2.600000e+01   \n",
       "mean                 1.500000   715.615385      3.328915e+05   \n",
       "std                  1.679286   727.154788      3.571095e+05   \n",
       "min                  0.000000    32.000000      1.612800e+04   \n",
       "25%                  0.000000   178.000000      7.577500e+04   \n",
       "50%                  1.000000   522.500000      2.418470e+05   \n",
       "75%                  2.750000   926.250000      3.979230e+05   \n",
       "max                  5.000000  2787.000000      1.551661e+06   \n",
       "\n",
       "       Briefkasten_pro_Einwohner  Filiale_pro_Einwohner  \n",
       "count                  26.000000              26.000000  \n",
       "mean                  644.496881            4292.274831  \n",
       "std                   191.162848            1890.413953  \n",
       "min                   309.519440            1542.798450  \n",
       "25%                   493.902047            3019.694099  \n",
       "50%                   613.151936            3850.028821  \n",
       "75%                   782.584465            4677.144068  \n",
       "max                  1026.737271            8064.000000  "
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Wir analysieren nun Postdaten auf Kantonaler Ebene\n",
    "df_Kanton.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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AYmIiZs2ahYULFxbp8mlERESvK7Pp6eLigkqVKgEA7O3tUaZMGeh0ujznj4qKQuPGjWFj\nYwMPDw94enri2rVrlmsxERHRa6RAlxCNjY3FjRs34OPjg8uXL2P//v2IiIhApUqV0L9/f2g0Guh0\nOlSuXFlextXV1WSwh4WFISwsDAAwe/ZsaLXa/BtqbW12HnNeVI0HCuYpaE1LrIul6rCG5WuI1BbW\nELctr1INkdoiSg25ltIZU1NTERQUhIEDB6JkyZJo06YNunXrBgDYunUr1q1bhxEjRii+lVdgYCAC\nAwPlx+auiSrKtVctef3W7Apak9fWfbVriNQW1hC3La9SDZHa8rxqeHl5KaqlaMexXq9HUFAQmjZt\nigYNGgAAnJ2doVaroVar0apVK1y/fh0A4ObmhoSEBHlZnU4HV1dXRY0hIiIiY2aDWpIkrFixAmXK\nlEGHDh3k6YmJifLvJ06cQLly5QAAdevWRWRkJDIyMhAbG4t79+7Bx8enGJpORET06jM79H3lyhVE\nRETgzTffxPjx4wE8OxXryJEjiImJgUqlgru7O4YNGwYAKFeuHBo1aoRx48ZBrVZjyJAhPOKbiIio\nkMwGdZUqVbBt27Zc07POmTala9eu6Nq1a9FaRkRERLwyGRERkcgY1ERERAJjUBMREQmMQU1ERCQw\nBjUREZHAGNREREQCY1ATEREJjEFNREQkMAY1ERGRwBjUREREAmNQExERCYxBTUREJDAGNRERkcAY\n1ERERAJjUBMREQmMQU1ERCQwBjUREZHArF90A4iIiF52mR90Mnr8IMfzViG/Fro2e9REREQCY1AT\nEREJjEFNREQkMAY1ERGRwBjUREREAmNQExERCYxBTUREJDAGNRERkcAY1ERERAJjUBMREQmMQU1E\nRCQwBjUREZHAGNREREQCY1ATEREJjEFNREQkMAY1ERGRwBjUREREAmNQExERCYxBTUREJDAGNRER\nkcCszc0QHx+PpUuX4uHDh1CpVAgMDES7du2QkpKC4OBgxMXFwd3dHWPHjoVGo4EkSVizZg3OnDmD\nEiVKYMSIEahUqdLzWBciIqJXjtketZWVFfr164fg4GB8/fXX2L9/P27fvo3Q0FDUqFEDixYtQo0a\nNRAaGgoAOHPmDO7fv49FixZh2LBhWLlyZbGvBBER0avKbFC7uLjIPWJ7e3uUKVMGOp0OUVFRCAgI\nAAAEBAQgKioKAHDy5Ek0a9YMKpUKvr6+ePz4MRITE4txFYiIiF5dZoe+s4uNjcWNGzfg4+ODpKQk\nuLi4AHgW5snJyQAAnU4HrVYrL+Pm5gadTifPmyUsLAxhYWEAgNmzZxstY7Kh1tZm5zHnRdV4oGCe\ngta0xLpYqg5rWL6GSG1hDXHb8irVEKktxfE5X5Q2KQ7q1NRUBAUFYeDAgShZsmSe80mSlGuaSqXK\nNS0wMBCBgYHy4/j4+HxfX6vVmp3HHFFqmFLQmpZqhyjbhDXEbQtriNuWV6mGSG0pjs95U/W8vLwU\nLavoqG+9Xo+goCA0bdoUDRo0AAA4OTnJQ9qJiYlwdHQE8KwHnb1BCQkJuXrTREREpIzZoJYkCStW\nrECZMmXQoUMHeXrdunURHh4OAAgPD0e9evXk6REREZAkCdHR0ShZsiSDmoiIqJDMDn1fuXIFERER\nePPNNzF+/HgAQO/evdGlSxcEBwfj4MGD0Gq1GDduHACgVq1aOH36ND755BPY2tpixIgRxbsGRERE\nrzCzQV2lShVs27bN5HMzZszINU2lUmHo0KFFbxkRERHxymREREQiY1ATEREJjEFNREQkMAY1ERGR\nwBjUREREAmNQExERCYxBTUREJDAGNRERkcAY1ERERAJjUBMREQmMQU1ERCQwBjUREZHAGNREREQC\nY1ATEREJjEFNREQkMAY1ERGRwKxfdAOIiOj1k/lBp1zTHuR4bBXy6/NpjODYoyYiIhIYg5qIiEhg\nQg59c0iEiIjoGfaoiYiIBMagJiIiEhiDmoiISGAMaiIiIoExqImIiATGoCYiIhIYg5qIiEhgDGoi\nIiKBMaiJiIgExqAmIiISGIOaiIhIYAxqIiIigTGoiYiIBMagJiIiEhiDmoiISGAMaiIiIoExqImI\niATGoCYiIhKYtbkZli1bhtOnT8PJyQlBQUEAgG3btuH333+Ho6MjAKB3796oXbs2AGD79u04ePAg\n1Go1Bg0aBH9//2JsPhER0avNbFA3b94c77zzDpYuXWo0vX379ujUqZPRtNu3byMyMhILFixAYmIi\nZs2ahYULF0KtZsediIioMMwmaNWqVaHRaBQVi4qKQuPGjWFjYwMPDw94enri2rVrRW4kERHR68ps\njzov+/fvR0REBCpVqoT+/ftDo9FAp9OhcuXK8jyurq7Q6XQmlw8LC0NYWBgAYPbs2dBqtfJzDxS8\nfvb5lbK2ti7UckWtURzrY4l1sVQd1rB8DZHawhrituVlrvG6fc4XpU2FCuo2bdqgW7duAICtW7di\n3bp1GDFiBCRJUlwjMDAQgYGB8uP4+PgCtaGg8wPPNlRhlrN0DVMKWtNS7RBlm7CGuG1hDXHb8irV\nMOVV+pw3Vc/Ly0vRsoXaeezs7Ay1Wg21Wo1WrVrh+vXrAAA3NzckJCTI8+l0Ori6uhbmJYiIiAiF\nDOrExET59xMnTqBcuXIAgLp16yIyMhIZGRmIjY3FvXv34OPjY5mWEhERvYbMDn1/9913uHTpEh49\neoThw4ejR48euHjxImJiYqBSqeDu7o5hw4YBAMqVK4dGjRph3LhxUKvVGDJkCI/4JiIiKgKzQT1m\nzJhc01q2bJnn/F27dkXXrl2L1ioiIioWmR8Yn1ab8yAoq5Bfn19jSBF2d4mIiATGoCYiIhIYg5qI\niEhgDGoiIiKBMaiJiIgExqAmIiISGIOaiIhIYAxqIiIigTGoiYiIBMagJiIiEhiDmoiISGCFuh81\nERHRi5bzuuXAq3ntcgY1EQnJ3M0jgFfjQ5jIHA59ExERCYw9anqtsddGRKJjj5qIiEhgDGoiIiKB\nMaiJiIgExqAmIiISGIOaiIhIYAxqIiIigTGoiYiIBMagJiIiEhiDmoiISGAMaiIiIoExqImIiATG\noCYiIhIYg5qIiEhgDGoiIiKBMaiJiIgExqAmIiISGIOaiIhIYAxqIiIigTGoiYiIBMagJiIiEhiD\nmoiISGAMaiIiIoExqImIiATGoCYiIhKYtbkZli1bhtOnT8PJyQlBQUEAgJSUFAQHByMuLg7u7u4Y\nO3YsNBoNJEnCmjVrcObMGZQoUQIjRoxApUqVin0liIiIXlVme9TNmzfHlClTjKaFhoaiRo0aWLRo\nEWrUqIHQ0FAAwJkzZ3D//n0sWrQIw4YNw8qVK4un1URERK8Js0FdtWpVaDQao2lRUVEICAgAAAQE\nBCAqKgoAcPLkSTRr1gwqlQq+vr54/PgxEhMTi6HZRERErwezQ9+mJCUlwcXFBQDg4uKC5ORkAIBO\np4NWq5Xnc3Nzg06nk+fNLiwsDGFhYQCA2bNnGy33QEEbss+vlLW1daGWK2qN4lgfS6yLpeq8zDX4\n3ohbg+9N8dQwt12f12erJd5fkbKiOLar3J5CL2mCJEm5pqlUKpPzBgYGIjAwUH4cHx9foNcq6PzA\nsw1VmOUsXcOUgta0VDtE2Sai1DCF740YNUzhe2P57fqiPlst1RZL1Hhe29XLy0vRsoUKaicnJyQm\nJsLFxQWJiYlwdHQE8KwHnb0xCQkJJnvTRGQs84NOuabl/IZuFfLr82kMEQmlUKdn1a1bF+Hh4QCA\n8PBw1KtXT54eEREBSZIQHR2NkiVLMqiJiIiKwGyP+rvvvsOlS5fw6NEjDB8+HD169ECXLl0QHByM\ngwcPQqvVYty4cQCAWrVq4fTp0/jkk09ga2uLESNGFPsKEBERvcrMBvWYMWNMTp8xY0auaSqVCkOH\nDi16q4iIiAgAr0xGREQkNAY1ERGRwBjUREREAmNQExERCcyiFzyh10POc355vi8RUfFhj5qIiEhg\nDGoiIiKBMaiJiIgExqAmIiISGIOaiIhIYAxqIiIigTGoiYiIBMagJiIiEhiDmoiISGAMaiIiIoEx\nqImIiATGoCYiIhIYg5qIiEhgvHsWEVE+ct4tDuAd4+j5Yo+aiIhIYAxqIiIigXHom4joJZFzGJ5D\n8K8H9qiJiIgExqAmIiISGIOaiIhIYAxqIiIigfFgMnoheFAMEZEy7FETEREJjEFNREQkMAY1ERGR\nwBjUREREAmNQExERCYxBTUREJDAGNRERkcAY1ERERAJjUBMREQmMQU1ERCQwBjUREZHAinSt75Ej\nR8LOzg5qtRpWVlaYPXs2UlJSEBwcjLi4OLi7u2Ps2LHQaDSWau9ry9y1sQFeH5uI6FVU5JtyfP75\n53B0dJQfh4aGokaNGujSpQtCQ0MRGhqKvn37FvVliIiIXksWH/qOiopCQEAAACAgIABRUVGWfgki\nIqLXRpF71F9//TUAoHXr1ggMDERSUhJcXFwAAC4uLkhOTja5XFhYGMLCwgAAs2fPhlarlZ8zNayb\nU/b5lbK2ti7UckWtYYn1EWmbmGuLknqWqJHTi3pvRG1HYdsiSg2+NwVvy+v2v/eqvTd5tqfQSwKY\nNWsWXF1dkZSUhK+++gpeXl6Klw0MDERgYKD8OD4+vkCvXdD5gWcbqjDLWbqGKZao+aK2iSXaYYka\norw3orTDUm0RpYYpr/t7Y4l2WKKGSNvVEjWe13ujNDOLNPTt6uoKAHByckK9evVw7do1ODk5ITEx\nEQCQmJhotP+aiIiICqbQPerU1FRIkgR7e3ukpqbi3Llz6NatG+rWrYvw8HB06dIF4eHhqFevniXb\nS0T5MHd2AM8MIHr5FDqok5KSMH/+fABAZmYm/vWvf8Hf3x/e3t4IDg7GwYMHodVqMW7cOIs1loiI\n6HVT6KAuXbo05s2bl2u6g4MDZsyYUaRGERER0TO8MhkREZHAGNREREQCY1ATEREJjEFNREQkMAY1\nERGRwBjUREREAivytb6JXne8BSkRFSf2qImIiATGoCYiIhIYh76JiJ4DXoedCos9aiIiIoExqImI\niATGoCYiIhIYg5qIiEhgDGoiIiKBMaiJiIgExqAmIiISGM+jfo3kPI8T4LmcRESiY4+aiIhIYOxR\nE9ErizdMoVcBe9REREQCY4/aDF6fl4iIXiT2qImIiATGoCYiIhIYh76JiKhAeJDe88WgppcWjx8g\nIksQ/bOEQ99EREQCY1ATEREJjEFNREQkMAY1ERGRwBjUREREAmNQExERCYynZxGREUucqiL66S5E\nLxP2qImIiATGoCYiIhIYg5qIiEhgDGoiIiKBMaiJiIgEVmxHfZ89exZr1qyBwWBAq1at0KVLl+J6\nKSIioldWsQS1wWDAqlWrMG3aNLi5uWHy5MmoW7cuypYtWxwvlyeeIkJERC+7Yhn6vnbtGjw9PVG6\ndGlYW1ujcePGiIqKKo6XIiIieqWpJEmSLF302LFjOHv2LIYPHw4AiIiIwNWrVzFkyBB5nrCwMISF\nhQEAZs+ebekmEBERvRKKpUdtKvtVKpXR48DAQMyePVtxSE+aNKnI7WKN4qnDGpavYak6rGH5Gpaq\nwxrFU+dVqpGlWILazc0NCQkJ8uOEhAS4uLgUx0sRERG90oolqL29vXHv3j3ExsZCr9cjMjISdevW\nLY6XIiIieqVZffHFF19YuqharYanpycWL16Mffv2oWnTpmjYsGGR61aqVIk1LFzDUnVYw/I1LFWH\nNSxfw1J1WKN46rxKNYBiOpiMiIiILINXJiMiIhIYg5qIiEhgDGoiIiKBFdu1vun5OHbsmEUO1HuV\nXL16FZUrVy721zl+/LjRY5VKBQcHB1SoUAH29vbF/vpE9HpgUBfC5cuXUaVKFUXzRkREoFmzZiaX\n27dvH955550itWXt2rWKgzouLg6lSpVCyZIlAQAXLlxAVFQU3N3d8c4778Daumh/DnFxcXB3d893\nngsXLqB69eoAgNjYWHh4eMjPHT9+HA0aNChSGwBgwYIFWL58eZFqKFmXU6dO5ZqWkpKCmzdv4qOP\nPpLX83l58uSJ/N7mFB8fD61Wa7bG4MGDUblyZfj5+cHPzw8+Pj4oUaJEgdoRExOD8uXL57rIUVHo\ndDoYDAblIi+LAAAaxklEQVQAgIuLC6ysrCxWW4kLFy7g9u3bAICyZcsW6L3dtGkT2rdvDycnp1zP\nbdiwAX379jVbIyoqCgkJCfLnxZQpU5CcnAwA6Nu3r6LPgH79+kGtzj2IKkkSVCoV1q5da7ZGfs6d\nO4cdO3Zg+vTpRaqjVHF/nhXErl278n2+Q4cORaovXFBfvnwZDx48QEBAAAAgKCgIKSkpAID33ntP\n0T/Ip59+avJDQpIkqNVqzJs3z2wNg8GAyMhI6HQ6+Pv7480338SpU6ewfft2pKenY+7cuYrWZ/fu\n3XJQr1mzBnPmzJGf++OPP4oc1AURHByMzz77DCVLlkRMTAyCg4PRpUsXxMTEYOXKlfIlX82Jjo6G\nTqfDW2+9BScnJ9y8eROhoaG4fPmy2YBcv369vA2CgoKMtscvv/xikaAuiKKsy4gRI0xOj4uLQ3Bw\nML755hvF7ejfv3+uv1lHR0dUq1YNffr0gYODg9kaM2fOlLfnl19+iRkzZsjPzZs3z2hb52XJkiW4\nevUqrly5gu3bt+Off/5B6dKl4evrCz8/PzRu3NhsjRUrViA2NhYVK1aUA79y5cp5fokwZfv27cjM\nzES3bt0AAFOnTkWpUqWg1+sREBCAd99912yN/D4HVCoV5s+fb7aGTqfD/PnzYWNjg0qVKkGSJBw9\nehQbN27E+PHj4erqarbG/v37cfjwYQwdOhS1a9c2eu78+fNmlweAX3/9FaNHj5YfZ2Rk4Ntvv0Va\nWhqWLVumKKjfeOMNxZ9b+blw4QJCQkKg0+lQr149dO3aFUuWLIEkSejataviOocOHcLevXtx9+5d\nAECZMmXQtm1b+bPfHEt8nlkibwDg6dOn8u9hYWEIDAxUtJxSwgX1tm3bMHjwYPnx3bt3MXLkSKSm\npmL79u2KNpypS7dJkgSdToft27crasfy5cuRkJAAHx8frFmzBu7u7oiOjsb777+P+vXrK16f7Ge/\n5TwT7nmfGZeeni5/sERERKBFixbo2LEjDAYDJkyYoKjG+vXrcfr0aZQvXx47duxA7dq18dtvv+Hd\nd9/FRx99ZHZ5kbZHUdclL+7u7sjMzCzQMuvWrcs1LSUlBYcOHUJISAjGjRtntkb27Zf1YWPqufyU\nLFkSb7/9Nt5++20AQGpqKg4dOoTdu3dj3759ioJ69uzZSEtLw7Vr13DlyhXs3bsXS5YsgbOzM/z8\n/DB06FCzNY4dO4aZM2fKjx0cHDB37lwYDAZ8/vnnioI663NAkiTMnj0bkydPNrtMTqtWrUKbNm3Q\nvHlzo+nh4eFYuXKlov+b0qVLY9SoUVi8eDHOnDmDfv36wdbWVm6bEnq93mhEpEqVKnBwcICDgwPS\n0tIU1bDUCMe6deswbNgw+Pr64syZM5g6dSp69uyJdu3aKa4RHh6OPXv2oH///vIXoBs3bmD9+vUA\noCisLfF5Zom8AYDu3bvLv0dFRRk9tgThgvrp06dGt8N844035JPGN2/erKhG9iHLmJgYHD58GEeP\nHoWHh4fiHts///yDefPmQa1WIz09HUOGDMHixYvh7OxcgLUx/ufI+Y+i9B8nv55BUlKS4rZk/1C4\nePEievfuDQAmh8Pycvr0acyZMwe2trZISUnBhx9+iPnz5+ONN95QtLwltgfwLAzy2iY5QyovRV2X\nvNy9e9ciw24ajQYdOnTAxIkTFc1viW2r0+kQHR2NK1eu4Pr16wCeXbShV69e8PX1VdhyoESJEqhW\nrRq8vb1RuXJlXLlyBeHh4Th79qziGnZ2dvLvWSGQ9f+oRPbPARsbG7O7Mky5ffs2xo8fn2t6QEAA\nfvnlF0U1VCoV3nzzTXz99dfYsGEDJk+ejE8++QTly5dX3I6cf9PZb3CUNQRuTlJSUr5DtEqHZ1Uq\nFapVqwYAqF+/PtavX1+gkAaA3377DZ999pnRrq/q1avj008/xcKFCxUFtSU+zyyRNzlZcpdPFuGC\n+vHjx0aPP/vsM/n3hw8fKqpx9+5dREZG4siRI9BoNGjcuDEkScLnn3+uuB3W1tbyG25rawsvL68C\nhzQA3LlzB5999hkkScKDBw/k9ZEkCbGxsYpqWOri7tWrV8eCBQvg4uKClJQU+dtiYmKi4mCxtbWV\newMajQZeXl4FCrYHDx5gzpw58vbIGo4tyPYAgE6dOhXqueyKui6mviykpKTg4cOHGDVqlOI6+dHr\n9Yp751kfxFlf4LI+lCVJUvxh/tFHH6FixYpo3749+vTpU6gvHIcPH8aVK1cQExMDGxsbOaxnzZql\n+H8oNTUVer1efv2sHm1GRobRMGNxy9ovbmp6Xs/lxdbWFoMHD8aZM2cwZ84ctG3bVvGylStXNjmk\neuDAAXh7eyuqYTAYkJqaWuSRq8ePHxsdSClJktFjJZ2hJ0+eGIV0Fg8PDzx58kRRO7I+z5ydnQv9\neWaJvHkehAtqLy8vnD59Ote+nFOnTsHLy0tRjbFjx6JKlSqYOHEiPD09ATzbV1wQWQELwChkC7Kf\nG3i2H6WoTPUEkpOT4eDgUKBvbwMHDkRkZCQSExMxa9Ys+Y/54cOH6NWrl6Ia2cMVeLY/Nvtjc72/\n7ENSSgPVlMePHxsdXDN58mQkJydDpVKhT58+imrktS5Z+zDNrUvO9mcd9e3p6VnggMt5BDnwbB0j\nIyMVHyzYqlUrOcSy/w4ALVu2VFRj1qxZiI6OxokTJ7Br1y64u7vD19cXvr6+8Pb2ho2Njdka33//\nPcqUKYPWrVvjrbfeUvx/m12DBg3wn//8B0OGDJEPZktNTcWqVasUb49//vlH/j09Pd3oMaDs8o51\n6tTBihUrMHDgQLmHn5qairVr16JWrVqK2pEzGGvVqoXZs2dj+fLluHnzpqIaAwYMwLx583DkyBFU\nrFgRwLP1y8jIMNnjN8XFxUXe518UVatWNTqQMudjJUGd9QW5oM9ll5mZiQoVKsDW1rbQn2eWyBvg\n/0c9TXXIlB4PkR/hLiF6//59fPvtt/Dz8zP6g4yOjsbEiRMVbbwTJ07gyJEjiI6Oxttvv40mTZpg\nxYoVWLp0qeJ2xMXF5ZqWfT93YfZ3ZSloyEZHR2PTpk3QaDR47733sGTJEiQnJ0OSJIwaNQr+/v7P\nrS2XLl3K9/mqVavm+3zOo1dzBmyjRo0UtWP69OkYPXq0vN9u/PjxmDFjhnxwTfYDqYprXbIOAMv+\nL5S1Ha2treHp6YlevXqhRo0aZtuybNmyXNMcHBxQrVq1XB8iz1NsbCxOnTqFPXv2QKfTYePGjWaX\nMRgMiImJkYfQ7969CxcXFznwlez3MxgM2Lx5Mw4ePCi/x/Hx8WjZsiV69eql6Kjv7Pu4TVEywqbX\n67F582YcOnQIWq0WKpUKcXFxCAgIwPvvv6/oC9mlS5eMRuTCw8Nx/PhxaLVaNG7cWNEZJBMnTsSc\nOXNw/vx5+ejzcuXKFejo8wkTJljkYLKdO3caPVapVHB0dESVKlVM9pJN6du3Lzw9PeUgy5I1spa1\nrzo/e/bswZEjR/Dw4UM0atQI//rXv1ChQoUCrYsl8gZ4NpTv7+9v8nM0MjISnTt3LlC7chKuR+3p\n6Yn58+fjzz//lP8gq1atilatWmHPnj2KDkSpX78+6tevj9TUVERFRWH37t1ISkpCSEgI6tevLx8o\nkx9L7OcGLBOyq1evRu/evfHkyRN8+eWXmDx5Mnx9fXHnzh0sXLhQcVBboi0eHh6KTvPJS86jV/V6\nvXzw0bJlyxQHtSUOrilqr9zUAWBZDAYDbt26hcWLFyMoKMhsrbyOIAeejQa1b9/ebI2ffvop3+eV\n9qbu3LmDK1euyEGbkpICX19ftG7dWtHyarUalSpVQqVKlfDOO+/g4cOHOHbsGHbv3o2tW7di69at\nZmv8888/aNeuHbp374779+/j4sWLOHXqFNLS0vD06VNoNBqzNfr06QM3Nzf5FruHDh3C8ePH4e7u\njh49eihal5iYGHTo0AE9e/bE/fv3ceHCBZw+fRp6vR6pqamK2rF27Vr5lKVLly5h06ZNGDRoEGJi\nYrB7925FQZ31ZbBGjRqKvviZouTLqxKpqam5psXFxeGXX35B9+7d0aRJE7M1qlWrhnfffReurq6F\n3qfbrl07tGvXDnFxcThy5AiWLVuGjIwMNGnSBI0bN1YUsvfv38e8efNw+PBhOW/eeustfPDBBwXq\nVa9atQpVq1bFxx9/nOtMgFcyqIFnB360bNkSN27cwJEjR/DTTz8VOCCBZwejNG3aFE2bNkVKSgqO\nHj2K0NBQRUFtif3cgGVCNjMzU27ztm3b5IN6ypQp89zbkv00n/nz5xvt01HCEgELWObgGkt9aTBF\nrVajQoUKFjn9bteuXYqC2tT5zmlpaTh48CAePXqkKKiHDBkiH51dpUoVdOnSRd59pNTNmzdx5coV\nOez1ej0qV66Mtm3bws/PT1GNkJAQTJ8+XT7QLzQ0VA6377//Hp9++qniGsCzgNy8eXOha2S1Y8eO\nHQWuYTAY5ECPjIxEq1at0LBhQzRs2FDxsHVycnKRDwRT8qVCibyOaE5JScGsWbMUBfXbb7+N9evX\nF6k3nMXd3R1dunRBly5dcOPGDSxfvhw//vijoi+E3377LapWrYpRo0bl2j0UGhqq+DOgfPnyaNKk\nCaZOnYr+/fsbLWeJQWvhgtpSAZmTRqNB69atFfcKLLGfG7BMyGY/ijHn/puCfBu1RFuy/9EV5OCv\nLJYIWMAyB9dY6ktDfpT+vVlCx44d5d+fPn2KPXv24I8//kDjxo2NnsvP4sWLC3S+synLli2Dn58f\nateuLfckPD09Fe97BCwTbiLVyMzMhJWVFS5cuIBhw4YZPae0hiUOBCtOGo1Gcfss0RvOotfrcfbs\nWURGRuL8+fOoWrWq4tGjrICdNm1akQJWpVIhMDAQVatWlU/Dyzq+whJHgQsX1JYKyKL69NNPceTI\nEcycOVPez12YfxJLhGxMTAwGDBgASZKQnp6OAQMGAHj2h5SRkfFc25LfKUBKWCJgAcscXGOpLw0i\nSUlJwa5du/Dnn38iICAAc+bMKVBPas+ePfk+r+QD8Ouvv8aWLVuwevVqaLVaSJKEhIQEtGjRAr16\n9VK0X9dS4SZCjSZNmuCLL76Ag4MDbG1t8dZbbwF4Nuyq9EuRpQ4EK04XLlxAqVKlCrRMUXrD586d\nw+HDh3HmzBl4e3ujSZMmGDZsmNFpfeZYOmC9vLzw1VdfYcuWLZgwYYLFzv4QLqgtFZBFZYn93IBl\nQlbJH+3zakt+NZRchtASAQsATk5O+Oqrr3DhwgX897//BQDUrl27QAfXWOpLgyWYujIZAHk7K7F+\n/XqcOHECrVq1QlBQUIE+sLJYYvh8w4YNSE1NxZIlS+Rrnj958gTr16/H+vXrMWjQILM1LBFuotTo\n2rUrqlevjocPH6JmzZry+2wwGBRtC+D5XwwoP6au65CSkgIXF5cCB1NResPbt29HkyZN0L9//yIP\n6xc1YLO/P1ZWVujTpw/8/f2xcOFCi3zpF+6o7yxZAXnkyBFcuHABAQEBBQrI4pC1nzsyMrLIQ/Gv\nu+wBW9CjVy0lKSkJ8+bNg42NjckvDYU5b/5F6tmzJ6ytrWFlZZXrSNrCXMs5a/j84MGDaNSoETp2\n7GjyetU5ffLJJ1i4cGGuD3ODwYAxY8Zg0aJFil4/OjpaDresLx13795FamqqolOrRKpRVCkpKRbb\nx1xUOc+IUalU0Gg0BfpiaKo3XK9evUJ9uSwKU0fCX7x4EcuXL0dycnK+B4xmd+LECZNXrExJSUFY\nWBi6dOlSpHYKG9TZMSCpOInwpUEkOYfP27VrV6CQGD16NBYuXFjg5+j1MXPmTDRp0gQNGzZ8oV9A\nijtgLeWlCGoiej6yD5+/8847herhzJ07Fw0aNMh1GciIiAgcPXpU8SVRiegZBjURySwxfJ51xylb\nW1t5aPj69etIT09XfMcpIvp/DGoiKhZZuxQkSUK5cuUKfaEOotcdg5qIiEhgyu8HRkRERM8dg5qI\niEhgDGoiIiKBMaiJCiE2NhY9evRAZmamyee3bdum+MIexa1Hjx64f//+i27Gc3Hx4kUMHz78RTeD\nyKIY1ERUKCNHjsS5c+dedDOIXnkMaqLnLK9eOBGRKcLdlIPoRQoNDcXvv/+OpKQkuLm5oXfv3qhf\nvz4MBgM2bNiA8PBw2Nvb57r/b2xsLJYuXYobN26gcuXKRrfpi42NxahRozB8+HD8+OOP8PDwwMyZ\nMxEdHY1169bh9u3bcHd3x8CBA1GtWjUAwKFDh/DTTz8hOTkZDg4O6NWrF5o2bYr79+9j+fLliImJ\ngbW1NapXr46xY8cqXr/Lly9j4cKFGDlyJKpXr441a9bgxIkTePLkCTw9PTFw4ED5xhPbtm3D7du3\nYWtrixMnTkCr1WLkyJHw9vbG4sWLER8fjzlz5kCtVqNbt27o3LkzTp48iU2bNkGn06FChQoYOnQo\nypYtC+BZD/zf//43IiIiEBcXB39/f4wcOVK+k1tUVBS2bduG2NhYODo6YsiQIfD394dOp0NISAgu\nX74MjUaDzp07yzdSSU9PR0hICE6ePAlnZ2e0aNHCaH11Oh1Wr16Nv//+G3Z2dmjfvj3atWtXwL8K\nohdMIiJZZGSklJCQIGVmZkpHjhyR+vbtK+l0Omn//v3S6NGjpbi4OOnRo0fSF198IXXv3l3S6/WS\nJEnSlClTpB9++EFKT0+XLl68KPXr109auHChJEmS9ODBA6l79+7S4sWLpadPn0ppaWlSQkKCNGjQ\nIOnUqVNSZmam9Ndff0mDBg2SkpKSpKdPn0r9+/eX7ty5I0mSJOl0OunWrVuSJElScHCw9PPPP0uZ\nmZlSWlqa9Pfff5tdp+7du0v37t2Tzpw5Iw0fPly6evWq/Fx4eLiUnJws6fV66ddff5WGDh0qpaWl\nSZIkSVu3bpXef/99uY0bN26UpkyZIi87YsQI6a+//pIf37lzR+rbt6/0119/SRkZGVJoaKg0atQo\nKSMjQ55/0qRJUkJCgvTo0SNpzJgx0v79+yVJkqSrV69K/fv3l/766y8pMzNTSkhIkG7fvi1JkiTN\nmDFDCgkJkdLS0qQbN25IgwcPls6dOydJkiRt2LBBmj59uvTo0SMpLi5OGjdunPThhx9KkiRJmZmZ\n0oQJE6Qff/xRysjIkO7fvy+NHDlSOnPmTEH/LIheKA59E2XTqFEjuLq6Qq1Wo3HjxvD09MS1a9dw\n9OhRtGvXDlqtFhqNxuhi/fHx8bh+/Tp69uwJGxsbVK1aFXXq1MlVu3v37rCzs4OtrS0iIiJQq1Yt\n1K5dG2q1GjVr1oS3tzdOnz4N4NkdiW7duoX09HS4uLigXLlyAABra2vExcUhMTERtra2qFKliqL1\nOnr0KP7zn/9g8uTJ8PHxkac3a9YMDg4OsLKyQseOHaHX63H37l35+SpVqshtbNasGWJiYvJ8jcjI\nSNSqVQs1a9aEtbU1OnbsiPT0dFy5ckWep23btnB1dYVGo0GdOnXkegcPHkSLFi1Qs2ZNqNVquLq6\nokyZMoiPj8fly5fRp08f2NraokKFCmjVqhUiIiLk9eratSs0Gg20Wi3atm0rv9b169eRnJyMbt26\nwdraGqVLl0arVq0QGRmpaJsRiYJD30TZhIeHY9euXfKt/FJTU/Ho0SMkJiZCq9XK87m7u8u/63Q6\nlCpVyugGFu7u7oiPjzeq7ebmJv8eHx+PY8eO4dSpU/K0zMxMVKtWDXZ2dhgzZgx27tyJFStWwM/P\nD/3790eZMmXQt29fbNmyBVOmTEGpUqXQoUMHtGzZ0ux67dmzB82aNcObb75pNH3nzp04ePAgdDod\nVCoVnj59ikePHsnPZ7+tpa2tLTIyMpCZmQkrK6tcr5GYmGi0XdRqNbRaLXQ6nTwt+61DbW1t5ecS\nEhJQq1YtkzU1Go18X2sA0Gq1uH79uvx89u2a/T3K+kIzcOBAeZrBYJCH9oleFgxqov+Ji4vD999/\njxkzZsDX1xdqtRrjx4+HJElwcXExCt7sv7u4uODx48dITU2VwzpnSAMwusmFm5sbmjZtmuepRP7+\n/vD390d6ejq2bNmC77//Hl9++SWcnZ3lZS5fvoxZs2ahatWq8PT0zHfdxo4dixUrVsDV1RXt27cH\nAPz999/YsWMHZsyYgbJly0KtVmPQoEGQCnlVYRcXF9y6dUt+LEkS4uPjFd2Ew83NzeQpZC4uLkhJ\nScHTp0/lsM5e09nZGQkJCfKIQ/btrtVq4eHhIcxpckSFxaFvov9JS0uDSqWCo6MjAOCPP/6Q71Pd\nqFEj7N27FwkJCUhJSUFoaKi8nLu7O7y9vbFt2zbo9XpcvnzZqKdsStOmTXHq1CmcPXsWBoMB6enp\nuHjxIhISEvDw4UOcPHkSqampsLa2hp2dHdTqZ/+qR48eRUJCAgCgVKlSACA/lx9XV1fMmDEDe/fu\nxf79+wEAT58+hZWVFRwdHWEwGPDTTz/hyZMnireXs7MzYmNj5ceNGzfGmTNncP78eej1euzcuRM2\nNjbw8/MzW6tly5Y4dOgQzp8/D4PBAJ1Ohzt37kCr1cLPzw+bNm1Ceno6bt68iT/++ANNmzYF8Ox9\n2b59O1JSUpCQkIB9+/bJNX18fGBvb4/Q0FCkp6fDYDDg1q1buHbtmuJ1JBIBe9RE/1O2bFl06NAB\nU6dOlffJZoVMq1atcPfuXYwfPx729vbo2LEjLly4IC/7ySefYOnSpRg0aBB8fX3RrFkzPH78OM/X\n0mq1mDBhAjZs2ICFCxdCrVbDx8cHH3zwASRJws6dO7F48WKoVCr56Gng2X7XH374AU+ePIGzszMG\nDRoEDw8PReun1WoxY8YMfPHFF7C2tkaLFi3g7++P0aNHo0SJEmjfvr3R0LE5Xbp0werVq7FhwwZ0\n7doVnTp1wscff4zVq1fLR31PnDgR1tbmP2Z8fHwwYsQIrF27FrGxsXBycsKQIUNQpkwZjB49GiEh\nIfjwww+h0WjQvXt31KxZE8Cz/f4hISEYNWoUXFxc0KJFC+zZswfAsy8wEydOxLp16zBy5Ejo9Xp4\neXmhZ8+eiteRSAS8exYREZHAOPRNREQkMA59E73k/v77b3zzzTcmn1u/fv1zbg0RWRqHvomIiATG\noW8iIiKBMaiJiIgExqAmIiISGIOaiIhIYP8HjXfYqKMRyDEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f8444cf2f98>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_Kanton['Filiale_Kanton'].to_frame().plot(kind='bar', figsize=(8, 5))\n",
    "\n",
    "plt.title('Filiale pro Kanton') \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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RCWfwCLxDhw746quv9Ib5+fmhSZMmWLt2LZo0aQI/Pz8AwMWLFxEbG4u1a9di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\nCsQAJyIiUqD/B+gdZVzI1dbvAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f8444c2fac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_Kanton['Briefeinwurf_Kanton'].to_frame().plot(kind='bar', figsize=(8, 5))\n",
    "\n",
    "plt.title('Briefkästen pro Kanton') \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Anp6e+Pj4cPr0aWw2G23bti1UN3+dgmJjY4mNjQUgKiqKgICAS2+Al5fTZYq6+FvlgtLW\nK2s7KqJGWeocub1X8XlFphutTazwdlT3GlWpLarhnjpHjhwp1CWae4lly9omZ2rVqsX3339fbL7F\nYnHcNMTDwwMvLy88PDwc/967dy9RUVGcPHmSM2fO0K9fv0LLnDlzhi1bthQKnezs7Iu2ycPDg9tu\nuw1vb2/atWtHixYt2Lt3L56enoSHhxMYGAhcOMkbPHgwNWvWpHHjxvTq1Yvt27fTpEmTYjU9PT0d\nXeglbZ+npyeenp40b97ccUk2JCSEP/74Ay8vL7p168bWrVvZvHkzEyZMcFzC7dmzJ15eXmzdupV3\n330XLy8v7rzzTl555RXHPhgwYADe3t507NiRY8eOOba7a9euNG/eHIDOnTtz6NAhfH192bVrF8OH\nDwcgNzeXRo0a4eXlhcVi4fbbby+03wr+u2bNmmV+/zp9d9jtdpKSknjjjTfw8fHh9ddfJzU19aLL\n53cnFGSxWEqcX5LIyEgiIyMd085+ds1dP1dXUFnqVZWfqnNnnYLMvE+qSo2q1BbVcE+dc+fOueVO\nYxdT9LpvaZYzDIOcnBxyc3PJy8sjJyeHvLw8x7/Hjx/P8uXL6dSpE5988gk//fRToWXy8vKoV68e\n//nPf1xqU15enuM585/fYrGQm5tLrVq1HPMLtid/vYLTBeXm/t8hUdHHDcMgNzeX3NxcvL29HY9b\nLBbOnz9PTk4O3bp1IzExkd9//52bbrqJhQsXYhgGkZGR5OTkONprsVgc6+fvAy8vr0Lbkv/vGjVq\nFHquc+fOkZOTQ7t27fjiiy+K7SvDMKhZs6ZjnYJ14cJ7qOj7ztWfE3Ua4Nu3b6dhw4bUq1cPuHDd\nYdeuXWRmZpKbm4unpyc2mw0/Pz8A/P39SU9Px9/fn9zcXDIzM7FarY75+QquIyJSHdRcsc7l0L2Y\noh/wFcVut9OoUSPOnz/P2rVrCQoKKvR43bp1adasGV988QW33norhmGwc+dOOnXqdNGaX375JXfc\ncQf/+9//OHDgAK1bty52wtejRw9WrVrFHXfcwYkTJ9i0aVOhrmt36tGjB6+99ho9evTAw8MDX19f\n4uLiHJcCQkND+fzzzxk6dChr1qyhe/fuZXqe1q1bY7PZSE5OJjQ0lPPnz/Pbb7/Rvn17d25OMU6v\ngQcEBLBnzx7Hzde3b99O06ZN6dSpExs3bgQgPj6e0NBQAK699lri4+MB2LhxI506dcJisRAaGkpi\nYiLnz5/n6NGj/Pnnn7Rp06bitkxERC5q8uTJ3HLLLQwfPvyin8WLFy/m448/JjIykn79+hU7Gy+q\nVatWDBkyhJEjRxIVFUWtWrWKLXPzzTdz5ZVX0r9/f4YNG8a0adMc31QqSdFr4MuXL3d5G5s1awZc\nOPEE6NatG/Xr16dBgwYAzJw5k08++YTIyEj++c9/8tJLL7lcuyBvb2/+8Y9/MGvWLCIjI7nxxhtJ\nTk4uU63SsBgu9G1/+umnJCYm4unpSYsWLXjkkUew2WzFvkZWo0YNsrOzWbx4Mfv27cNqtTJx4kQa\nNWoEwJo1a/j+++/x8PBg9OjRdO3a1WkDDx06dMnHy9Lt5WykeVlunmDmrkBXRt6beZ9UlRpVqS2q\n4Z46mZmZ+Pj4OKbdcfZs1hoTJ04kMjKSW265xa3tcFedqlqj6HsI3NiFDjBs2DCGDRtWaF6jRo0K\njczL5+3tzaRJk0qsM3jwYAYPHuxSw0REROTidCtVERFx2YIFC4rdpeyWW25h/vz5Za75yy+/MH78\n+ELzatasaYq7of2VFOAiImXk6rdrqpMJEyYwYcIEt9a88sori91N7nJRnveQ7oUuIlJGHh4elTJi\nXKqnnJwcPDzKHsM6AxcRKaNatWqRlZXFuXPnsFgs1KxZk3PnzpWrpmpU3ba4s4ZhGHh4eJQ4Ut9V\nCnARkTKyWCzUrl3bMV1VRtVXpxpVqS1VpUY+daGLiIiYkM7ApUop+p30ovdkL8v30UVEqiOdgYuI\niJiQAlxERMSEFOAiIiImpGvgIiIiJajqY3J0Bi4iImJCCnARERETUoCLiIiYkAJcRETEhBTgIiIi\nJqQAFxERMSEFuIiIiAkpwEVERExIAS4iImJCCnARERETUoCLiIiYkAJcRETEhJz+mMmhQ4eIjo52\nTB89epRhw4YRFhZGdHQ0x44dIzAwkCeeeAKr1YphGKxYsYKUlBRq1qzJ2LFjadWqFQDx8fGsWbMG\ngMGDBxMeHl4xWyUiIlLNOQ3w4OBg5syZA0BeXh4PP/ww3bt3JyYmhs6dOzNo0CBiYmKIiYlh5MiR\npKSkcPjwYRYuXMiePXtYtmwZs2bNwm63s3r1aqKiogCYMmUKoaGhWK3Wit1CERGRaqhUXejbt28n\nKCiIwMBAkpKSCAsLAyAsLIykpCQAkpOT6du3LxaLhXbt2nHmzBkyMjJITU2lS5cuWK1WrFYrXbp0\nITU11f1bJCIichko1e+Bb9iwgd69ewNw8uRJfH19AfD19eXUqVMA2Gw2AgICHOv4+/tjs9mw2Wz4\n+/s75vv5+WGz2Yo9R2xsLLGxsQBERUUVqlXiBnh5OV2mqKK/6VpUaeuVtR0VUaMsdZztD6i8faLX\nRjX+ihpVqS2qUXXaUlU/jxy1XF0wJyeHLVu2cPfdd19yOcMwis2zWCwlLlvS/MjISCIjIx3Tx48f\nv+TzBQQEOF2mtMpSzx3tcNe2VKd9UlXaUZVeG9Vwf42q1BbVqNptKaiiPo+Cg4NdquVyF3pKSgot\nW7akQYMGANSvX5+MjAwAMjIyqFevHnDhjLtg49LT0/H19cXPz4/09HTHfJvN5jiDFxERkdJxOcAL\ndp8DhIaGkpCQAEBCQgLdunVzzF+/fj2GYbB79258fHzw9fUlJCSEbdu2YbfbsdvtbNu2jZCQEDdv\njoiIyOXBpS70c+fO8fPPP/PQQw855g0aNIjo6Gji4uIICAhg0qRJAHTt2pWtW7cyfvx4vL29GTt2\nLABWq5UhQ4YwdepUAIYOHaoR6CIiImXkUoDXrFmTd955p9C8unXrMn369GLLWiwWxowZU2KdiIgI\nIiIiytBMERER88l98O+FposOjPNc+q8y19ad2ERERExIAS4iImJCCnARERETUoCLiIiYkAJcRETE\nhBTgIiIiJqQAFxERMSEFuIiIiAkpwEVERExIAS4iImJCCnARERETUoCLiIiYkAJcRETEhBTgIiIi\nJqQAFxERMSEFuIiIiAkpwEVERExIAS4iImJCCnARERETUoCLiIiYkAJcRETEhBTgIiIiJqQAFxER\nMSEvVxY6c+YMb731Fr///jsWi4VHH32U4OBgoqOjOXbsGIGBgTzxxBNYrVYMw2DFihWkpKRQs2ZN\nxo4dS6tWrQCIj49nzZo1AAwePJjw8PAK2zAREZHqzKUAX7FiBSEhITz55JPk5ORw7tw51q5dS+fO\nnRk0aBAxMTHExMQwcuRIUlJSOHz4MAsXLmTPnj0sW7aMWbNmYbfbWb16NVFRUQBMmTKF0NBQrFZr\nhW6giIhIdeS0Cz0zM5NffvmFiIgIALy8vKhTpw5JSUmEhYUBEBYWRlJSEgDJycn07dsXi8VCu3bt\nOHPmDBkZGaSmptKlSxesVitWq5UuXbqQmppagZsmIiJSfTk9Az969Cj16tVjyZIlHDhwgFatWjF6\n9GhOnjyJr68vAL6+vpw6dQoAm81GQECAY31/f39sNhs2mw1/f3/HfD8/P2w2m7u3R0RE5LLgNMBz\nc3PZt28f999/P23btmXFihXExMRcdHnDMIrNs1gsJS5b0vzY2FhiY2MBiIqKKnQwUBIvLy+nyxR1\nxMnjpa1X1nZURI2y1HG2P6Dy9oleG9X4K2pUpbaoRtVpizs+jyriMy2f0wD39/fH39+ftm3bAtCj\nRw9iYmKoX78+GRkZ+Pr6kpGRQb169RzLHz9+3LF+eno6vr6++Pn5sXPnTsd8m81Gx44diz1fZGQk\nkZGRjumCtUoSEBDgdJnSKks9d7TDXdtSnfZJVWlHVXptVMP9NapSW1SjarelIHfUK6lGcHCwS+s6\nvQbeoEED/P39OXToEADbt2+nadOmhIaGkpCQAEBCQgLdunUDIDQ0lPXr12MYBrt378bHxwdfX19C\nQkLYtm0bdrsdu93Otm3bCAkJcXkjRURE5P+4NAr9/vvvZ+HCheTk5NCwYUPGjh2LYRhER0cTFxdH\nQEAAkyZNAqBr165s3bqV8ePH4+3tzdixYwGwWq0MGTKEqVOnAjB06FCNQBcRESkjlwK8RYsWjq9/\nFTR9+vRi8ywWC2PGjCmxTkREhGM0u4iIiJSd7sQmIiJiQgpwERERE1KAi4iImJACXERExIQU4CIi\nIiakABcRETEhBbiIiIgJKcBFRERMSAEuIiJiQgpwERERE1KAi4iImJACXERExIRc+jETqbpyH/x7\nsXlFf0Dec+m/KqcxIiJSaXQGLiIiYkIKcBERERNSgIuIiJiQAlxERMSEFOAiIiImpAAXERExIQW4\niIiICSnARURETEgBLiIiYkIKcBERERNy6Vaqjz32GLVq1cLDwwNPT0+ioqKw2+1ER0dz7NgxAgMD\neeKJJ7BarRiGwYoVK0hJSaFmzZqMHTuWVq1aARAfH8+aNWsAGDx4MOHh4RW2YSIiItWZy/dCf+GF\nF6hXr55jOiYmhs6dOzNo0CBiYmKIiYlh5MiRpKSkcPjwYRYuXMiePXtYtmwZs2bNwm63s3r1aqKi\nogCYMmUKoaGhWK1W92+ViIhINVfmLvSkpCTCwsIACAsLIykpCYDk5GT69u2LxWKhXbt2nDlzhoyM\nDFJTU+nSpQtWqxWr1UqXLl1ITU11z1aIiIhcZlw+A3/llVcA6N+/P5GRkZw8eRJfX18AfH19OXXq\nFAA2m42AgADHev7+/thsNmw2G/7+/o75fn5+2Gw2t2yEiIjI5calAJ85cyZ+fn6cPHmSl19+meDg\n4IsuaxhGsXkWi6XEZUuaHxsbS2xsLABRUVGFDgZK4uXl5XSZoor+3GZRpa1X1na4o4azbQHn2+OO\nGiW53F+bqtwW1ai6bVGNqtMWd3weVcRnWj6XAtzPzw+A+vXr061bN/bu3Uv9+vXJyMjA19eXjIwM\nx/Vxf39/jh8/7lg3PT0dX19f/Pz82Llzp2O+zWajY8eOxZ4rMjKSyMhIx3TBWiUJCAhwukxplaWe\nO9pREdsCZdsed9TQa1N126IaVbctqlG121JQRX22XuokuSCn18CzsrI4e/as498///wzzZs3JzQ0\nlISEBAASEhLo1q0bAKGhoaxfvx7DMNi9ezc+Pj74+voSEhLCtm3bsNvt2O12tm3bRkhIiMsbKSIi\nIv/H6Rn4yZMnmTt3LgC5ublcf/31hISE0Lp1a6Kjo4mLiyMgIIBJkyYB0LVrV7Zu3cr48ePx9vZm\n7NixAFitVoYMGcLUqVMBGDp0qEagi4iIlJHTAG/UqBFz5swpNr9u3bpMnz692HyLxcKYMWNKrBUR\nEUFEREQZmikiIiIF6U5sIiIiJqQAFxERMSEFuIiIiAkpwEVEREzI5TuxiYiI++U++PdC00Vv/OG5\n9F+V1xgxFZ2Bi4iImJACXERExIQU4CIiIiakABcRETEhDWITEZEqo+igPtDAvovRGbiIiIgJKcBF\nRERMSAEuIiJiQgpwERERE1KAi4iImJACXERExIQU4CIiIiak74GLiEv0oxsiVYvOwEVERExIAS4i\nImJC6kIXqcJ0W0kRuRidgYuIiJiQAlxERMSE1IUuImJy+obA5cnlAM/Ly2PKlCn4+fkxZcoUjh49\nyvz587Hb7bRs2ZJx48bh5eXF+fPnWbx4Mb/99ht169Zl4sSJNGzYEIC1a9cSFxeHh4cH9913HyEh\nIRW2YSIiItWZy13o69ato0mTJo7pVatWMXDgQBYuXEidOnWIi4sDIC4ujjp16rBo0SIGDhzIBx98\nAMDBgwdJTEzk9ddfZ9q0aSxfvpy8vDw3b46IiMjlwaUAT09PZ+vWrdxwww0AGIZBWloaPXr0ACA8\nPJykpCQAkpOTCQ8PB6BHjx7s2LEDwzBISkqiV69e1KhRg4YNGxIUFMTevXsrYJNERESqP5e60N99\n911GjhwTOJ3hAAAgAElEQVTJ2bNnATh9+jQ+Pj54enoC4Ofnh81mA8Bms+Hv7w+Ap6cnPj4+nD59\nGpvNRtu2bR01C65TUGxsLLGxsQBERUUREBBw6Q3w8nK6TFFFrw8VVdp6ZW2HO2o42xZwvj3uqFGS\ny/21cUcdvTaVU+OvbIs79mt1em2q23u+Il6bfE4DfMuWLdSvX59WrVqRlpbmtKBhGMXmWSyWEueX\nJDIyksjISMf08ePHCz1e0vdiC3LHYI2iz+mKgICAMq3n7holcUfNv2qfVJV2uGtbqtM+qSrtqEqv\nTVXZr+6oUVX3B5j7Pe9KjeDgYJfWdRrgu3btIjk5mZSUFLKzszl79izvvvsumZmZ5Obm4unpic1m\nw8/PDwB/f3/S09Px9/cnNzeXzMxMrFarY36+guuIiIhI6TgN8Lvvvpu7774bgLS0NL744gvGjx/P\n66+/zsaNG+nduzfx8fGEhoYCcO211xIfH0+7du3YuHEjnTp1wmKxEBoaysKFC7nlllvIyMjgzz//\npE2bNhW7dSJS7Tj7yhToa1NyeSjz98BHjBjB/Pnz+fjjj2nZsiUREREAREREsHjxYsaNG4fVamXi\nxIkANGvWjJ49ezJp0iQ8PDx44IEH8PDQfWRERETKolQB3qlTJzp16gRAo0aNePXVV4st4+3tzaRJ\nk0pcf/DgwQwePLgMzRQREZGCdCe2v5C6AuVyo/e8iPuoD1tERMSEdAYuchnQvbJFqh8FuIhIGei3\n2uWvpi50ERERE1KAi4iImJC60MVtdJ1VRKTyKMBF5LKj69dSHagLXURExIQU4CIiIiakABcRETEh\nBbiIiIgJKcBFRERMSAEuIiJiQgpwERERE1KAi4iImJACXERExIQU4CIiIiakABcRETEhBbiIiIgJ\nKcBFRERMSAEuIiJiQgpwERERE3L6e+DZ2dm88MIL5OTkkJubS48ePRg2bBhHjx5l/vz52O12WrZs\nybhx4/Dy8uL8+fMsXryY3377jbp16zJx4kQaNmwIwNq1a4mLi8PDw4P77ruPkJCQCt9AERGR6sjp\nGXiNGjV44YUXmDNnDq+99hqpqans3r2bVatWMXDgQBYuXEidOnWIi4sDIC4ujjp16rBo0SIGDhzI\nBx98AMDBgwdJTEzk9ddfZ9q0aSxfvpy8vLyK3ToREZFqymmAWywWatWqBUBubi65ublYLBbS0tLo\n0aMHAOHh4SQlJQGQnJxMeHg4AD169GDHjh0YhkFSUhK9evWiRo0aNGzYkKCgIPbu3VtBmyUiIlK9\nOe1CB8jLy+OZZ57h8OHD/O1vf6NRo0b4+Pjg6ekJgJ+fHzabDQCbzYa/vz8Anp6e+Pj4cPr0aWw2\nG23btnXULLhOQbGxscTGxgIQFRVFQEBAocePOGlr0eVL4o4aRXl5eZV6PWftcKUtVaWGK3XM9NpU\nRI2y1Klur01Veb9WlRqu1Lnc/m7ctV8roy1/1WuTz6UA9/DwYM6cOZw5c4a5c+fyxx9/XHRZwzCK\nzbNYLCXOL0lkZCSRkZGO6ePHj7u0XlmXd1eNgIAAtzy3O9qiGoW547Vx1+tbEe8TM782FVVHNcpf\noyr93RRVVT6jK+q1CQ4OdmndUo1Cr1OnDh07dmTPnj1kZmaSm5sLXDjr9vPzA8Df35/09HTgQpd7\nZmYmVqu10Pyi64iIiEjpOA3wU6dOcebMGeDCiPTt27fTpEkTOnXqxMaNGwGIj48nNDQUgGuvvZb4\n+HgANm7cSKdOnbBYLISGhpKYmMj58+c5evQof/75J23atKmgzRIREanenHahZ2Rk8MYbb5CXl4dh\nGPTs2ZNrr72Wpk2bMn/+fD7++GNatmxJREQEABERESxevJhx48ZhtVqZOHEiAM2aNaNnz55MmjQJ\nDw8PHnjgATw89DV0ERGRsnAa4FdccQWvvfZasfmNGjXi1VdfLTbf29ubSZMmlVhr8ODBDB48uAzN\nrHpyH/x7oemSBip4Lv1X5TRGREQuOzoFFhERMSEFuIiIiAkpwEVERExIAS4iImJCCnARERETUoCL\niIiYkEu3UhUxE33FT0QuBwpwERGpdpwdyFeHg3h1oYuIiJiQAlxERMSEFOAiIiImpAAXERExIQ1i\nExERfXvDhHQGLiIiYkIKcBERERNSgIuIiJiQAlxERMSEFOAiIiImpAAXERExIQW4iIiICSnARURE\nTEgBLiIiYkIKcBERERNyeivV48eP88Ybb3DixAksFguRkZEMGDAAu91OdHQ0x44dIzAwkCeeeAKr\n1YphGKxYsYKUlBRq1qzJ2LFjadWqFQDx8fGsWbMGgMGDBxMeHl6hGyciIlJdOQ1wT09P7rnnHlq1\nasXZs2eZMmUKXbp0IT4+ns6dOzNo0CBiYmKIiYlh5MiRpKSkcPjwYRYuXMiePXtYtmwZs2bNwm63\ns3r1aqKiogCYMmUKoaGhWK3WCt9IERGR6sZpgPv6+uLr6wtA7dq1adKkCTabjaSkJF588UUAwsLC\nePHFFxk5ciTJycn07dsXi8VCu3btOHPmDBkZGaSlpdGlSxdHYHfp0oXU1FSuv/76its6ERGpNPpB\nlMpVql8jO3r0KPv27aNNmzacPHnSEey+vr6cOnUKAJvNRkBAgGMdf39/bDYbNpsNf39/x3w/Pz9s\nNlux54iNjSU2NhaAqKioQrWg5DdEQUWXL0ll1HClTnWq4UqdqlLD1ToFeXl5lXqdI7f3Kj6vyHSj\ntYmXruHC81SV/aq/m9LXcKVOVanhSp2qUsOVOmaqcTEuB3hWVhbz5s1j9OjR+Pj4XHQ5wzCKzbNY\nLCUuW9L8yMhIIiMjHdPHjx93tYllWr6iarirjmq4v0ZZ6gQEBLjtucvTjupew111VMP9NdxVRzWc\n1wgODnZpXZdGoefk5DBv3jz69OnDddddB0D9+vXJyMgAICMjg3r16gEXzrgLNig9PR1fX1/8/PxI\nT093zLfZbI4zeBERESkdpwFuGAZvvfUWTZo04ZZbbnHMDw0NJSEhAYCEhAS6devmmL9+/XoMw2D3\n7t34+Pjg6+tLSEgI27Ztw263Y7fb2bZtGyEhIRW0WSIiItWb0y70Xbt2sX79epo3b87kyZMBGD58\nOIMGDSI6Opq4uDgCAgKYNGkSAF27dmXr1q2MHz8eb29vxo4dC4DVamXIkCFMnToVgKFDh2oEuoiI\nSBk5DfAOHTrw6aeflvjY9OnTi82zWCyMGTOmxOUjIiKIiIgoZRNFRESkKN2JTURExIQU4CIiIiak\nABcRETEhBbiIiIgJKcBFRERMSAEuIiJiQgpwERERE1KAi4iImJACXERExIRK9XOiIpcL/a6xiFR1\nOgMXERExIQW4iIiICSnARURETEgBLiIiYkIKcBERERNSgIuIiJiQAlxERMSEFOAiIiImpAAXEREx\nIQW4iIiICSnARURETEgBLiIiYkIKcBERERNy+mtkS5YsYevWrdSvX5958+YBYLfbiY6O5tixYwQG\nBvLEE09gtVoxDIMVK1aQkpJCzZo1GTt2LK1atQIgPj6eNWvWADB48GDCw8MrbqtERESqOadn4OHh\n4Tz77LOF5sXExNC5c2cWLlxI586diYmJASAlJYXDhw+zcOFCHnroIZYtWwZcCPzVq1cza9YsZs2a\nxerVq7Hb7RWwOSIiIpcHpwHesWNHrFZroXlJSUmEhYUBEBYWRlJSEgDJycn07dsXi8VCu3btOHPm\nDBkZGaSmptKlSxesVitWq5UuXbqQmppaAZsjIiJyeXDahV6SkydP4uvrC4Cvry+nTp0CwGazERAQ\n4FjO398fm82GzWbD39/fMd/Pzw+bzVZi7djYWGJjYwGIiooqVA/giJO2FV2+JJVRw5U61amGK3Wq\nSg1X6lSnGq7UqSo1XKlTnWq4Uqeq1HClTlWp4UodM9W4mDIF+MUYhlFsnsViKXHZi82PjIwkMjLS\nMX38+PFStaG0y1dUDXfVUQ3313BXHdVwfw131VEN99dwVx3VcF4jODjYpXXLNAq9fv36ZGRkAJCR\nkUG9evWAC2fcBRuTnp6Or68vfn5+pKenO+bbbDbHGbyIiIiUXpkCPDQ0lISEBAASEhLo1q2bY/76\n9esxDIPdu3fj4+ODr68vISEhbNu2Dbvdjt1uZ9u2bYSEhLhvK0RERC4zTrvQ58+fz86dOzl9+jSP\nPPIIw4YNY9CgQURHRxMXF0dAQACTJk0CoGvXrmzdupXx48fj7e3N2LFjAbBarQwZMoSpU6cCMHTo\n0GID40RERMR1TgN84sSJJc6fPn16sXkWi4UxY8aUuHxERAQRERGlbJ6IiIiURHdiExERMSEFuIiI\niAkpwEVERExIAS4iImJCCnARERETUoCLiIiYkAJcRETEhBTgIiIiJqQAFxERMSEFuIiIiAkpwEVE\nRExIAS4iImJCCnARERETUoCLiIiYkAJcRETEhBTgIiIiJqQAFxERMSEFuIiIiAkpwEVERExIAS4i\nImJCCnARERETUoCLiIiYkAJcRETEhLwq+wlTU1NZsWIFeXl53HDDDQwaNKiymyAiImJ6lXoGnpeX\nx/Lly3n22WeJjo5mw4YNHDx4sDKbICIiUi1UaoDv3buXoKAgGjVqhJeXF7169SIpKakymyAiIlIt\nWAzDMCrryTZu3EhqaiqPPPIIAOvXr2fPnj088MADjmViY2OJjY0FICoqqrKaJiIiYiqVegZe0rGC\nxWIpNB0ZGUlUVJTL4T1lypRyt6s61XBXHdVwfw131VEN99dwVx3VcH8Nd9WpTjXyVWqA+/v7k56e\n7phOT0/H19e3MpsgIiJSLVRqgLdu3Zo///yTo0ePkpOTQ2JiIqGhoZXZBBERkWrB88UXX3yxsp7M\nw8ODoKAgFi1axDfffEOfPn3o0aNHueu2atVKNSqgjmq4v4a76qiG+2u4q45quL+Gu+pUpxpQyYPY\nRERExD10JzYRERETUoCLiIiYkAJcRETEhCr9XuhSeTZu3OiWQYLVxZ49e2jbtm2FP8+mTZsKTVss\nFurWrUuLFi2oXbt2hT+/iFweFOBu9Ouvv9KhQweXll2/fj19+/Ytcb1vvvmGm266qdztee+991wK\n8GPHjlGnTh18fHwA2LFjB0lJSQQGBnLTTTfh5VW+t8mxY8cIDAx0utyOHTu46qqrADh69CgNGzZ0\nPLZp0yauu+66crXj9ddf58033yxXDVe2ZcuWLcXm2e12Dhw4wKOPPurYxsqSmZnpeG2LOn78OAEB\nAU5r3H///bRt25b27dvTvn172rRpQ82aNUvVjv3793PFFVcUu3lTedhsNvLy8gDw9fXF09PTbbVd\nsWPHDsfvOTRt2rTUr+2HH37IwIEDqV+/frHHVq1axciRIy+5flJSEunp6Y7Pi2effZZTp04BMHLk\nSJf+/u+55x48PIp3xhqGgcVi4b333nNlUy7q559/5vPPP+f5558vVx1XVfTnWWl8+eWXl3z8lltu\nKVd90wT4r7/+ypEjRwgLCwNg3rx52O12AIYMGeLSH86TTz5Z4oeHYRh4eHgwZ84cpzXy8vJITEzE\nZrMREhJC8+bN2bJlC2vXriU7O5vXXnvNpe356quvHAG+YsUKZs+e7Xjs+++/d0uAuyo6OpqnnnoK\nHx8f9u/fT3R0NIMGDWL//v0sW7bMcetbZ3bv3o3NZuPKK6+kfv36HDhwgJiYGH799VeXgnPlypWO\n/TBv3rxC+2TNmjXlDvDSKM+2jB07tsT5x44dIzo6mlmzZrncjnvvvbfYe7ZevXp06tSJESNGULdu\nXac1ZsyY4diXL730EtOnT3c8NmfOnEL7+WIWL17Mnj172LVrF2vXruW3336jUaNGtGvXjvbt29Or\nVy+nNd566y2OHj1Ky5YtHQcCbdu2vejBRUnWrl1Lbm4uQ4cOBWDatGnUqVOHnJwcwsLCuP32253W\nuNTngMViYe7cuU5r2Gw25s6dS40aNWjVqhWGYfDTTz/xwQcfMHnyZPz8/Fzann//+9/8+OOPjBkz\nhmuuuabQY9u3b3e6/r/+9S8mTJjgmD5//jyvvvoq586dY8mSJS4FeOPGjV3+3LqUHTt2sHTpUmw2\nG926dWPw4MEsXrwYwzAYPHiwy3Xi4+P5+uuvOXToEABNmjTh5ptvdnz2O+OOzzN35A3A2bNnHf+O\njY0lMjLSpfVcZZoA//TTT7n//vsd04cOHeKxxx4jKyuLtWvXurRDS7qFnWEY2Gw21q5d61I73nzz\nTdLT02nTpg0rVqwgMDCQ3bt3c/fdd9O9e3eXt6fgt/eKfpOvsr/Zl52d7fjAWb9+Pf369ePWW28l\nLy+Pp59+2qUaK1euZOvWrVxxxRV8/vnnXHPNNfznP//h9ttv59FHH3WpRlXZJ+7YlpIEBgaSm5tb\nqnXef//9YvPsdjvx8fEsXbqUSZMmOa1RcN/lfwiV9Nil+Pj4cPXVV3P11VcDkJWVRXx8PF999RXf\nfPONSwEeFRXFuXPn2Lt3L7t27eLrr79m8eLFNGjQgPbt2zNmzBinNTZu3MiMGTMc03Xr1uW1114j\nLy+PF154waUAz/8cMAyDqKgopk6d6nSdopYvX86NN95IeHh4ofkJCQksW7bM5b+bRo0a8fjjj7No\n0SJSUlK455578Pb2drTPmZycnEI9KB06dKBu3brUrVuXc+fOudQGd/WIvP/++zz00EO0a9eOlJQU\npk2bxp133smAAQNcrpGQkMC6deu49957HQdG+/btY+XKlQAuhbg7Ps/ckTcAd9xxh+PfSUlJhabd\nwTQBfvbsWZo2beqYbty4sePL8B999JFLNQp2fe7fv58ff/yRn376iYYNG7p8dvfbb78xZ84cPDw8\nyM7O5oEHHmDRokU0aNCgFFtT+I+m6B9Qaf6gLnU2cfLkSZdqFPygSEtLY/jw4QAldqtdzNatW5k9\nezbe3t7Y7XYefvhh5s6dS+PGjV2u4Y59EhUVddH9UTS8LsYd21KSQ4cOuaX7zmq1csstt/DMM8+4\ntLw79qvNZmP37t3s2rWL//73v8CFm1HcddddtGvXzsWWQ82aNenUqROtW7embdu27Nq1i4SEBFJT\nU12uUatWLce/88Mh/+/RFQU/B2rUqOHS5Z2iDh48yOTJk4vNDwsLY82aNS7XsVgsNG/enFdeeYVV\nq1YxdepUxo8fzxVXXOHS+kXf0wV/GCq/K92ZkydPXrKr19VuXovFQqdOnQDo3r07K1euLFV4A/zn\nP//hqaeeKnT57KqrruLJJ59kwYIFLgW4Oz7P3JE3Rbnz0lE+0wT4mTNnCk0/9dRTjn+fOHHCpRqH\nDh0iMTGRDRs2YLVa6dWrF4Zh8MILL7jcDi8vL8cbwdvbm+Dg4FKHN8Aff/zBU089hWEYHDlyxLE9\nhmFw9OhRl+u448b4V111Fa+//jq+vr7Y7XbH0WVGRobLgePt7e04c7BarQQHB5c68I4cOcLs2bMd\n+yS/a7c0++Tvf/97mR4rqLzbUtJBhN1u58SJEzz++OMu17mUnJwcl8/m8z+g8w/q8j+sDcNw+UP+\n0UcfpWXLlgwcOJARI0aU6UDkxx9/ZNeuXezfv58aNWo4QnzmzJku/w1lZWWRk5PjeP78M+Dz588X\n6q6saPnX3Uuaf7HHLsXb25v777+flJQUZs+ezc033+zSem3bti2xa/bbb7+ldevWLtXIy8sjKyur\n3L1cZ86cKTSA0zCMQtOunCRlZmYWCu98DRs2JDMz06V25H+eNWjQoMyfZ+7Im8pgmgAPDg5m69at\nxa4TbdmyheDgYJdqPPHEE3To0IFnnnmGoKAg4MK16NLID16gUPiW5jo6XLhO4w4lnT2cOnWKunXr\nunzEN3r0aBITE8nIyGDmzJmON/mJEye46667XKpRMHDhwvXegtOunC0W7N5yNWyLOnPmTKFBPVOn\nTuXUqVNYLBZGjBjhUo2LbUv+NVJn21K07fmj0IOCgkodfEVHtMOFbUxMTHT5GwY33HCDI9wK/hsg\nIiLCpRozZ85k9+7dbN68mS+//JLAwEDatWtHu3btaN26NTVq1HBa4x//+AdNmjShf//+XHnllS7/\n3RZ03XXX8fbbb/PAAw84BtFlZWWxfPlyl/fHb7/95vh3dnZ2oWlw7TaX1157LW+99RajR4929Ahk\nZWXx3nvv0bVrV1c3p1hodu3alaioKN58800OHDjgdP1Ro0YxZ84cNmzYQMuWLYEL23f+/PkSewhK\n4uvr6xhTUB4dO3YsNICz6LQrAZ5/4FzaxwrKzc2lRYsWeHt7l/nzzB15A//XQ1rSiZqr4y0uxTS3\nUj18+DCvvvoq7du3L/RG3b17N88884xLO3Xz5s1s2LCB3bt3c/XVV9O7d2/eeust3njjDZfbcezY\nsWLzCl5HL8v1tHylDV64MNjqww8/xGq1MmTIEBYvXsypU6cwDIPHH3+ckJCQSmnLzp07L/l4x44d\nndYoOqK2aPj27NnTaY3nn3+eCRMmOK4LTp48menTpzsG9RQcwFVR25I/8Kzgn1b+fvTy8iIoKIi7\n7rqLzp07O23LkiVLis2rW7cunTp1KvbhUpmOHj3Kli1bWLduHTabjQ8++MDpOnl5eezfv9/RFX/o\n0CF8fX0dBwKuXFfMy8vjo48+Ii4uzvEaHz9+nIiICO666y6XRqEXvIZeEld65HJycvjoo4+Ij48n\nICAAi8XCsWPHCAsL4+6773b5QG3nzp2FevESEhLYtGkTAQEB9OrVy+m3Wp555hlmz57N9u3bHaPh\nmzVrVqrR8E8//bRbBrF98cUXhaYtFgv16tWjQ4cOJZ5Vl2TkyJEEBQU5Ai5ffi9c/rXwS1m3bh0b\nNmzgxIkT9OzZk+uvv54WLVqUalvckTdw4ZJASEhIiZ+jiYmJ3HbbbaVqV1GmOQMPCgpi7ty5/PDD\nD443aseOHbnhhhtYt26dSwNgunfvTvfu3cnKyiIpKYmvvvqKkydPsnTpUrp37+4YoHMp7riODu4L\n3nfeeYfhw4eTmZnJSy+9xNSpU2nXrh1//PEHCxYscKmOO9rSsGFDl76OdClFR9Tm5OQ4Bj4tWbLE\npQB3x6Ce8p7FlzTwLF9eXh7/+9//WLRoEfPmzXNa62Ij2uFC79HAgQOd1li9evUlH3f17OuPP/5g\n165djgC22+20a9eO/v37u7S+h4cHrVq1olWrVtx0002cOHGCjRs38tVXX/HJJ5/wySefOK3x22+/\nMWDAAO644w4OHz5MWloaW7Zs4dy5c5w9exar1eq0xogRI/D393f8lHF8fDybNm0iMDCQYcOGubQt\n+/fv55ZbbuHOO+/k8OHD7Nixg61bt5KTk0NWVpZL7YALX/XM/3rVzp07+fDDD7nvvvvYv38/X331\nldMAzz9I7Ny5s0sHhCVx5aDWFVlZWcXmHTt2jDVr1nDHHXfQu3dvpzU6derE7bffjp+fX5mvGQ8Y\nMIABAwZw7NgxNmzYwJIlSzh//jy9e/emV69eLoXv4cOHmTNnDj/++KMjb6688koefPDBUp2FL1++\nnI4dOzJu3Lhi30y4rAIcLgw4iYiIYN++fWzYsIHVq1eXOjjhwiCYPn360KdPH+x2Oz/99BMxMTEu\nBbg7rqODe4IXLnQX5bf7008/dQwoatKkSaW2peDXkebOnVvompGr3BG+7hjU444DiYvx8PCgRYsW\nbvma4JdffulSgJf0fe1z584RFxfH6dOnXQrwBx54wDFavEOHDgwaNMhxGcpVBw4cYNeuXY6DgJyc\nHNq2bcvNN99M+/btXaqxdOlSnn/+eccAw5iYGEfg/eMf/+DJJ590uQZcCM2PPvqozDXy2/H555+X\nugZcOKDLD/vExERuuOEGevToQY8ePVzqAj916lS5B6C5erDhzMVGWNvtdmbOnOlSgF999dWsXLmy\nXGfP+QIDAxk0aBCDBg1i3759vPnmm3z22WcuHSi++uqrdOzYkccff7zYZaaYmBiXPwOuuOIKevfu\nzbRp07j33nsLreeOzm/TBLi7grMoq9VK//79XT6LcMd1dHBP8ELhkZVFrxG5egTrjrYUfDOWZhBe\nQe4IX3cM6nHHgYQzrr7f3OHWW291/Pvs2bOsW7eO77//nl69ehV67FIWLVpUqu9rl2TJkiW0b9+e\na665xnHmERQU5PK1TSh/4FWlGvl1cnNz8fT0ZMeOHTz00EOFHnNlfXcMQKtIVqvV5fa54+w5X05O\nDqmpqSQmJrJ9+3Y6duzocm9TfvA+99xz5Qpei8VCZGQkHTt2dHxVMH/8hjtGpZsmwN0VnOX15JNP\nsmHDBmbMmOG4jl6WPx53BC9c6MobNWoUhmGQnZ3NqFGjgAtvsvPnz1daWy71VSVXuSN83TGoxx0H\nElWN3W7nyy+/5IcffiAsLIzZs2eX6sxr3bp1l3zclQ/GV155hY8//ph33nmHgIAADMMgPT2dfv36\ncdddd7l03bi8gVeVagD07t2bF198kbp16+Lt7c2VV14JXOjCdeWAyV0D0CrSjh07qFOnTqnWKc/Z\n888//8yPP/5ISkoKrVu3pnfv3jz00EOFvn7ojLuDNzg4mJdffpmPP/6Yp59+2m3fRjFNgLsrOMvL\nHdfRwT3BC7j0hq6Mtlyqhqu3Y3RH+NavX5+XX36ZHTt28PvvvwNwzTXXlGpQjzsOJNylpDuxAY79\n7IqVK1eyefNmbrjhBubNm1eqD7J87uiGX7VqFVlZWSxevNhxT/jMzExWrlzJypUrue+++5zWKG/g\nVaUaAIMHD+aqq67ixIkTdOnSxfFa5+XlubQ/qtKZd0n3pLDb7fj6+pY6sMpz9rx27Vp69+7Nvffe\nW+7LA+UN3oKvj6enJyNGjCAkJIQFCxa45WTANKPQ8+UH54YNG9ixYwdhYWGlCs6KkH8dPTExsdxd\n+kKh8C3tiFp3OHnyJHPmzKFGjRolHkiU5Xv/f6U777wTLy8vPD09i43sLcu9rvO74ePi4ujZsye3\n3tUrm7MAAApWSURBVHpriffyLmr8+PEsWLCg2Id8Xl4eEydOZOHChS49/+7dux2Bl38wcujQIbKy\nslz6ClhVqlFedrvdbdewy6voN3QsFgtWq7VUB4wlnT1369atTAed5VHSyPy0tDTefPNNTp06dcmB\nqgVt3ry5xDt02u12YmNjGTRoULnaaboAL0jBKRXprz6QqGqKdsMPGDCgVOExYcIEFixYUOrH5PIx\nY8YMevfuTY8ePf7SA5OKDl53MXWAi0jlKNgNf9NNN5XpjOi1117juuuuK3Y7zPXr1/PTTz+5fGtY\nEblAAS4iTrmjGz7/F7y8vb0dXcz//e9/yc7OLtUveInIBQpwEalU+ZcmDMOgWbNmZb4BicjlTgEu\nIiJiQq7/vpqIiIhUGQpwERERE1KAi4iImJACXMSNjh49yrBhw8jNzS3x8U8//dTlG5ZUtGHDhnH4\n8OG/uhmVIi0tjUceeeSvboaIWynARcStHnvsMX7++ee/uhki1Z4CXKSKuNhZu4hISUzzYyYif6WY\nmBi+++47Tp48ib+/P8OHD6d79+7k5eWxatUqEhISqF27drHfXz569ChvvPEG+/bto23btoV+DvHo\n0aM8/vjjPPLII3z22Wc0bNiQGTNmsHv3bt5//30OHjxIYGAgo0ePplOnTgDEx8ezevVqTp06Rd26\ndbnrrrvo06cPhw8f5s0332T//v14eXlx1VVX8cQTT7i8fb/++isLFizgscce46qrrmLFihVs3ryZ\nzMxMgoKCGD16tOMHOz799FMOHjyIt7c3mzdvJiAggMcee4zWrVuzaNEijh8/zuzZs/Hw8GDo0KHc\ndtttJCcn8+GHH2Kz2WjRogVjxoyhadOmwIUz9r/97W+sX7+eY8eOERISwmOPPeb4ZbykpCQ+/fRT\njh49Sr169XjggQcICQnBZrOxdOlSfv31V6xWK7fddpvjB2iys7NZunQpycnJNGjQgH79+hXaXpvN\nxjvvvMMvv/xCrVq1GDhwIAMGDCjlu0LkL2aIiFOJiYlGenq6kZuba2zYsMEYOXKkYbPZjH//+9/G\nhAkTjGPHjhmnT582XnzxReOOO+4wcnJyDMMwjGeffdZ49913jezsbCMtLc245557jAULFhiGYRhH\njhwx7vh/7d1dSBRtGwfwv+O6KW62u44maRG4qBgsmkcKLqhHpkZIi1CytH1gqKUFahktUdBphASa\nIH1Y2BdZG5onmh5oB5ltFhoq1ZIWurOWq677eT0H8gz6PvXo+/Dyvvly/Y5m7nvmnrnv3fXavWfG\ny2ikhoYGcrvd5PF4SJIkMpvNNDg4SIFAgGw2G5nNZvrx4we53W4ymUw0OTlJREROp5PsdjsREV25\ncoUePXpEgUCAPB4PjYyMrNkno9FIX79+paGhITp+/DiNjY3Jdb29vTQ3N0d+v5+ePn1KR48eJY/H\nQ0RE9+7dowMHDsjneOfOHaqvr5f3LS8vJ5vNJq9PTk5SaWkp2Ww28vl81N7eTpWVleTz+eTtz5w5\nQ5Ikkcvlourqaurq6iIiorGxMTKZTGSz2SgQCJAkSfTlyxciIrJYLNTc3Ewej4c+fvxIhw8fprdv\n3xIRUWtrK50/f55cLhfNzMzQ6dOnqaysjIiIAoEA1dbW0oMHD8jn89G3b9+ooqKChoaG/t23BWP/\nUzyFztg6ZGZmQqvVQhAEZGVlIS4uDuPj4xgYGMCePXsgiiJUKtWqJAcOhwMTExMoKSlBWFgYUlNT\nkZGR8Ze2jUYjwsPDoVQq0dfXh/T0dOzevRuCIECv1yMxMRGvX78GsJzhyW63w+v1QqPRYPv27QAA\nhUKBmZkZzM7OQqlUIiUlZV39GhgYwPXr13H27FnodDq53GAwYPPmzQgNDUVRURH8fj+mpqbk+pSU\nFPkcDQYDPn369Mtj9Pf3Iz09HXq9HgqFAkVFRfB6vfjw4YO8TX5+PrRaLVQqFTIyMuT2uru7kZOT\nA71eD0EQoNVqER8fD4fDgdHRURw8eBBKpRI7d+5EXl4e+vr65H4VFxdDpVJBFEXk5+fLx5qYmMDc\n3Bz2798PhUKBrVu3Ii8vD/39/esaM8Z+FzyFztg69Pb24tmzZ3LKxKWlJbhcLszOzkIURXm7mJgY\nednpdCIyMnJV4o+YmBg4HI5VbUdHR8vLDocDL1++xODgoFwWCASwa9cuhIeHo7q6GlarFY2NjUhO\nTobJZEJ8fDxKS0vR1taG+vp6REZGorCwELm5uWv2q6OjAwaDATt27FhVbrVa0d3dDafTiZCQELjd\nbrhcLrl+ZfpQpVIJn8+HQCCA0NDQvxxjdnZ21bgIggBRFOF0OuWylSlalUqlXCdJEtLT03/apkql\nkvOKA4AoipiYmJDrV47rytfozy86hw4dksuCwaB8iYCxjYIDOGNrmJmZQVNTEywWC5KSkiAIAmpq\nakBE0Gg0qwLyymWNRoOFhQUsLS3JQfxfgzeAVclBoqOjkZ2d/ctHntLS0pCWlgav14u2tjY0NTXh\n4sWLUKvV8j6jo6O4dOkSUlNTERcX97d9O3XqFBobG6HValFQUAAAGBkZwZMnT2CxWJCQkABBEGA2\nm0H/8L8uazQa2O12eZ2I4HA41pW8JDo6+qePumk0GszPz8PtdstBfGWbarUakiTJMxQrx10URcTG\nxv42j/Mx9k/xFDpja/B4PAgJCUFUVBQAoKenR84TnpmZic7OTkiShPn5ebS3t8v7xcTEIDExEffv\n34ff78fo6OiqX9Y/k52djcHBQbx58wbBYBBerxfv37+HJEn4/v07Xr16haWlJSgUCoSHh0MQlj/C\nAwMDkCQJABAZGQkAct3f0Wq1sFgs6OzsRFdXFwDA7XYjNDQUUVFRCAaDePjwIRYXF9c9Xmq1GtPT\n0/J6VlYWhoaGMDw8DL/fD6vVirCwMCQnJ6/ZVm5uLl68eIHh4WEEg0E4nU5MTk5CFEUkJyfj7t27\n8Hq9+Pz5M3p6epCdnQ1g+XV5/Pgx5ufnIUkSnj9/Lrep0+kQERGB9vZ2eL1eBINB2O12jI+Pr7uP\njP0O+Bc4Y2tISEhAYWEhzp07J1/z/TP45OXlYWpqCjU1NYiIiEBRURHevXsn73vy5Elcu3YNZrMZ\nSUlJMBgMWFhY+OWxRFFEbW0tWltbcfXqVQiCAJ1Oh2PHjoGIYLVa0dDQgJCQEPlubmD5uu6NGzew\nuLgItVoNs9mM2NjYdfVPFEVYLBZcuHABCoUCOTk5SEtLQ1VVFTZt2oSCgoJVU9Br2bdvH1paWtDa\n2ori4mLs3bsXJ06cQEtLi3wXel1dHRSKtf/86HQ6lJeX4+bNm5iensaWLVtw5MgRxMfHo6qqCs3N\nzSgrK4NKpYLRaIRerwewfF9Bc3MzKisrodFokJOTg46ODgDLX2zq6upw69YtVFRUwO/3Y9u2bSgp\nKVl3Hxn7HXA2MsYYY2wD4il0xhhjbAPiKXTG/k+NjIzg8uXLP627ffv2f/lsGGP/aTyFzhhjjG1A\nPIXOGGOMbUAcwBljjLENiAM4Y4wxtgFxAGeMMcY2oD8AFOj4GQlsSg4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f843e898588>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_Kanton['Filiale_pro_Einwohner'].to_frame().plot(kind='bar', figsize=(8, 5))\n",
    "\n",
    "plt.title('Filiale pro Einwohner') \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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PAODn54eVK1fi448/hpWVFSZOnGiwlSAikquiDyTiw4ieL0/z/a3QfeD9+/dH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\nyIXYwImIiFyIDZyIiMiF3gFYyx8KJ9PnuAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f843e6ddb00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_Kanton['Briefkasten_pro_Einwohner'].to_frame().plot(kind='bar', figsize=(8, 5))\n",
    "\n",
    "plt.title('Briefkasten pro Einwohner') \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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mjTfeYNKkSWzevJkff/yxXL3JyckEBgYSHh6Oy+VCo9H45TCg0Hjy8vL8ZgJT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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f843e5b3a58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_temp = df_Kanton['Filiale_Kanton'].to_frame()\n",
    "\n",
    "y = df_temp['Filiale_Kanton']\n",
    "\n",
    "patches, texts = plt.pie(y, startangle=90, radius=1.2)\n",
    "\n",
    "percent = 100.*y/y.sum()\n",
    "labels = ['{0} - {1:1.2f} %'.format(i,j) for i,j in zip(df_temp.index, percent)]\n",
    "\n",
    "plt.title('Filialen pro Kanton')\n",
    "plt.axis('equal') \n",
    "plt.legend(patches, labels, loc='best', bbox_to_anchor=(-0.1, 1.),\n",
    "           fontsize=8)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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1f/ROU6dO5Y033uDEiROsWbOG999/HyhdZL8q1+nXr1+p0oQVtWMwGDh//rzt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\nx9awHNPaHC6vRKr1rRUd7b8XfCyvgnJlO4/2llWnaONnzVdv5JgOsk7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rrJE24jT7Dn2D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\nl6fPBAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f843e5b33c8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_temp = df_Kanton['Briefeinwurf_Kanton'].to_frame()\n",
    "\n",
    "y = df_temp['Briefeinwurf_Kanton']\n",
    "\n",
    "patches, texts = plt.pie(y, startangle=90, radius=1.2)\n",
    "\n",
    "percent = 100.*y/y.sum()\n",
    "labels = ['{0} - {1:1.2f} %'.format(i,j) for i,j in zip(df_temp.index, percent)]\n",
    "\n",
    "plt.title('Briefkästen pro Kanton')\n",
    "plt.axis('equal') \n",
    "plt.legend(patches, labels, loc='best', bbox_to_anchor=(-0.1, 1.),\n",
    "           fontsize=8)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Farbgruppe nach POI-Typ\n",
    "out_lst_grpType = df_POI_Analyse.poityp_de.unique()\n",
    "out_df_grpType = pd.DataFrame(out_lst_grpType) \n",
    "out_df_grpType = out_df_grpType.rename(columns={0: \"poityp_de\"})\n",
    "out_df_grpType['colorGrp'] = out_df_grpType.apply(lambda x : list(np.random.choice(range(256), size=3)), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>poityp_de</th>\n",
       "      <th>colorGrp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Briefeinwurf</td>\n",
       "      <td>[104, 79, 91]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Briefzentrum</td>\n",
       "      <td>[49, 113, 215]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Filiale</td>\n",
       "      <td>[20, 147, 195]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Hausservice</td>\n",
       "      <td>[89, 30, 34]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Logistikzentrum Briefe</td>\n",
       "      <td>[68, 251, 124]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 poityp_de        colorGrp\n",
       "4             Briefeinwurf   [104, 79, 91]\n",
       "9             Briefzentrum  [49, 113, 215]\n",
       "0                  Filiale  [20, 147, 195]\n",
       "1              Hausservice    [89, 30, 34]\n",
       "10  Logistikzentrum Briefe  [68, 251, 124]"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "out_df_grpType.sort_values(by='poityp_de').head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_POI_Analyse = pd.merge(df_POI_Analyse, out_df_grpType, on='poityp_de')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "address_kantoncode    object\n",
       "address_gemeindeid     int64\n",
       "geopoint              object\n",
       "poityp_de             object\n",
       "Geopoint_X            object\n",
       "Geopoint_Y            object\n",
       "Einwohnerzahl         object\n",
       "colorGrp              object\n",
       "dtype: object"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_POI_Analyse.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Zeige nur alle Filialen an\n",
    "df_POI_Analyse = df_POI_Analyse.loc[(df_POI_Analyse['poityp_de'] == 'Filiale')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "ename": "AttributeError",
     "evalue": "'Series' object has no attribute 'type'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mAttributeError\u001b[0m                            Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-55-04fb92757f68>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[0mdf_POI_Analyse\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhead\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mdf_POI_Analyse\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'Geopoint_X'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mtype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m/opt/conda/lib/python3.6/site-packages/pandas/core/generic.py\u001b[0m in \u001b[0;36m__getattr__\u001b[0;34m(self, name)\u001b[0m\n\u001b[1;32m   2742\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0mname\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_info_axis\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2743\u001b[0m                 \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mname\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2744\u001b[0;31m             \u001b[0;32mreturn\u001b[0m \u001b[0mobject\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__getattribute__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m   2745\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2746\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0m__setattr__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mname\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mAttributeError\u001b[0m: 'Series' object has no attribute 'type'"
     ]
    }
   ],
   "source": [
    "df_POI_Analyse.head()\n",
    "df_POI_Analyse['Geopoint_X'].type()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Geopunkt Zentrum der Schweiz gemäss google maps\n",
    "latitude = 46.7985124\n",
    "longitude = 8.2295887"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "map_Post_POI = folium.Map(location=[latitude, longitude], zoom_start=8)\n",
    "\n",
    "for lat, lng, types, colo in zip(df_POI_Analyse['Geopoint_X'], df_POI_Analyse['Geopoint_Y'], df_POI_Analyse['poityp_de'], df_POI_Analyse['colorGrp']):\n",
    "            label = '{}, {} ; {};'.format(types, lat, lng)\n",
    "            label = folium.Popup(label, parse_html=True)\n",
    "            folium.CircleMarker(\n",
    "                [lat, lng],\n",
    "                radius=3,\n",
    "                popup=label,\n",
    "                color=f'#{int(colo[0]):02x}{int(colo[1]):02x}{int(colo[2]):02x}',\n",
    "                fill=True,\n",
    "                fill_color=f'#{int(colo[0]):02x}{int(colo[1]):02x}{int(colo[2]):02x}',\n",
    "                fill_opacity=0.7,\n",
    "                parse_html = False).add_to(map_Post_POI) \n",
    "        \n",
    "map_Post_POI"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Nun wollen wir anzeigen, wo überall in der Schweiz wir Tickets für Events bei der Post kaufen können.\n",
    "#Wir verwenden nun den Datensatz \"df_basisdaten\n",
    "df_basisdaten_tickets = df_basisdaten.loc[(df_basisdaten['service_de'] == 'Tickets')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Farbgruppe nach POI-Typ\n",
    "out_lst_grpType = df_basisdaten_tickets.service_de.unique()\n",
    "out_df_grpType = pd.DataFrame(out_lst_grpType) \n",
    "out_df_grpType = out_df_grpType.rename(columns={0: \"service_de\"})\n",
    "out_df_grpType['colorGrp'] = out_df_grpType.apply(lambda x : list(np.random.choice(range(256), size=3)), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "out_df_grpType.sort_values(by='service_de').head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_basisdaten_tickets = pd.merge(df_basisdaten_tickets, out_df_grpType, on='service_de')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_basisdaten_tickets.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "map_buy_tickets = folium.Map(location=[latitude, longitude], zoom_start=8)\n",
    "\n",
    "for lat, lng, buy_tickets, colo in zip(df_basisdaten_tickets['Geopoint_X'], df_basisdaten_tickets['Geopoint_Y'], df_basisdaten_tickets['service_de'], df_basisdaten_tickets['colorGrp']):\n",
    "            label = '{}, {} ; {};'.format(buy_tickets, lat, lng)\n",
    "            label = folium.Popup(label, parse_html=True)\n",
    "            folium.CircleMarker(\n",
    "                [lat, lng],\n",
    "                radius=3,\n",
    "                popup=label,\n",
    "                color=f'#{int(colo[0]):02x}{int(colo[1]):02x}{int(colo[2]):02x}',\n",
    "                fill=True,\n",
    "                fill_color=f'#{int(colo[0]):02x}{int(colo[1]):02x}{int(colo[2]):02x}',\n",
    "                fill_opacity=0.7,\n",
    "                parse_html = False).add_to(map_buy_tickets) \n",
    "        \n",
    "map_buy_tickets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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