passagiere/Flugbewegungen_ab_ZRH_pro_Monat_seit_2000.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "6bf89552",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import requests"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aa864ab4",
   "metadata": {},
   "source": [
    "#### Zu den Daten\n",
    "##### Art des Verkehrs\n",
    "* Linienverkehr: Flüge zur gewerbsmässigen Beförderung von Personen oder Gütern, wenn sie während einer Mindestdauer so regelmässig oder häufig erfolgen, dass es sich erkennbar um eine systematische Folge von Flügen handelt, und im Personenverkehr in der Öffentlichkeit Sitzplätze zum Einzelkauf angeboten werden.\n",
    "* Charterverkehr: Gelegentliche Flugverbindungen, bei denen meist Reiseveranstalter bei einer Fluggesellschaft bestimmte Flüge kaufen. Die Plätze darin werden dann beispielsweise zusammen mit einer Unterkunft zu einem Pauschalreise-Angebot gebündelt."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6c911b6d",
   "metadata": {},
   "source": [
    "## 1. Schritt: Daten einlesen"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "10b02272",
   "metadata": {},
   "source": [
    "Wir fragen die Daten direkt aus STAT-TAB (Bundesamt für Statistik ab)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "823e1a8d",
   "metadata": {},
   "outputs": [],
   "source": [
    "url = 'https://www.pxweb.bfs.admin.ch/api/v1/de/px-x-1107020000_101/px-x-1107020000_101.px' #Die URL für die Abfrage direkt aus STAT-TAB\n",
    "\n",
    "#Die JSON-Abfrage für die gewünschten Daten\n",
    "myobj =  {\n",
    "  \"query\": [\n",
    "    {\n",
    "      \"code\": \"Flughafen\",\n",
    "      \"selection\": {\n",
    "        \"filter\": \"item\",\n",
    "        \"values\": [\n",
    "          \"103\"\n",
    "        ]\n",
    "      }\n",
    "    },\n",
    "    {\n",
    "      \"code\": \"Art des Verkehrs\",\n",
    "      \"selection\": {\n",
    "        \"filter\": \"item\",\n",
    "        \"values\": [\n",
    "          \"2\",\n",
    "          \"3\"\n",
    "        ]\n",
    "      }\n",
    "    },\n",
    "    {\n",
    "      \"code\": \"Monat\",\n",
    "      \"selection\": {\n",
    "        \"filter\": \"item\",\n",
    "        \"values\": [\n",
    "          \"1\",\n",
    "          \"2\",\n",
    "          \"3\",\n",
    "          \"4\",\n",
    "          \"5\",\n",
    "          \"6\",\n",
    "          \"7\",\n",
    "          \"8\",\n",
    "          \"9\",\n",
    "          \"10\",\n",
    "          \"11\",\n",
    "          \"12\"\n",
    "        ]\n",
    "      }\n",
    "    },\n",
    "    {\n",
    "      \"code\": \"Jahr\",\n",
    "      \"selection\": {\n",
    "        \"filter\": \"item\",\n",
    "        \"values\": [\n",
    "          \"0\",\n",
    "          \"1\",\n",
    "          \"2\",\n",
    "          \"3\",\n",
    "          \"4\",\n",
    "          \"5\",\n",
    "          \"6\",\n",
    "          \"7\",\n",
    "          \"8\",\n",
    "          \"9\",\n",
    "          \"10\",\n",
    "          \"11\",\n",
    "          \"12\",\n",
    "          \"13\",\n",
    "          \"14\",\n",
    "          \"15\",\n",
    "          \"16\",\n",
    "          \"17\",\n",
    "          \"18\",\n",
    "          \"19\",\n",
    "          \"20\",\n",
    "          \"21\"\n",
    "        ]\n",
    "      }\n",
    "    }\n",
    "  ],\n",
    "  \"response\": {\n",
    "    \"format\": \"json-stat\"\n",
    "  }\n",
    "}\n",
    "\n",
    "data = requests.post(url, json = myobj) #Die Daten abspeichern"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "4061ba07",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'dataset': {'status': {'198': '...',\n",
       "   '220': '...',\n",
       "   '242': '...',\n",
       "   '462': '...',\n",
       "   '484': '...',\n",
       "   '506': '...'},\n",
       "  'dimension': {'Flughafen': {'label': 'Flughafen',\n",
       "    'category': {'index': {'103': 0}, 'label': {'103': '... Zürich Kloten'}}},\n",
       "   'Art des Verkehrs': {'label': 'Art des Verkehrs',\n",
       "    'category': {'index': {'2': 0, '3': 1},\n",
       "     'label': {'2': 'Linienverkehr', '3': 'Charterverkehr'}}},\n",
       "   'Monat': {'label': 'Monat',\n",
       "    'category': {'index': {'1': 0,\n",
       "      '2': 1,\n",
       "      '3': 2,\n",
       "      '4': 3,\n",
       "      '5': 4,\n",
       "      '6': 5,\n",
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       "      '8': 7,\n",
       "      '9': 8,\n",
       "      '10': 9,\n",
       "      '11': 10,\n",
       "      '12': 11},\n",
       "     'label': {'1': 'Januar',\n",
       "      '2': 'Februar',\n",
       "      '3': 'März',\n",
       "      '4': 'April',\n",
       "      '5': 'Mai',\n",
       "      '6': 'Juni',\n",
       "      '7': 'Juli',\n",
       "      '8': 'August',\n",
       "      '9': 'September',\n",
       "      '10': 'Oktober',\n",
       "      '11': 'November',\n",
       "      '12': 'Dezember'}}},\n",
       "   'Jahr': {'label': 'Jahr',\n",
       "    'category': {'index': {'0': 0,\n",
       "      '1': 1,\n",
       "      '2': 2,\n",
       "      '3': 3,\n",
       "      '4': 4,\n",
       "      '5': 5,\n",
       "      '6': 6,\n",
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       "      '10': 10,\n",
       "      '11': 11,\n",
       "      '12': 12,\n",
       "      '13': 13,\n",
       "      '14': 14,\n",
       "      '15': 15,\n",
       "      '16': 16,\n",
       "      '17': 17,\n",
       "      '18': 18,\n",
       "      '19': 19,\n",
       "      '20': 20,\n",
       "      '21': 21},\n",
       "     'label': {'0': '2021',\n",
       "      '1': '2020',\n",
       "      '2': '2019',\n",
       "      '3': '2018',\n",
       "      '4': '2017',\n",
       "      '5': '2016',\n",
       "      '6': '2015',\n",
       "      '7': '2014',\n",
       "      '8': '2013',\n",
       "      '9': '2012',\n",
       "      '10': '2011',\n",
       "      '11': '2010',\n",
       "      '12': '2009',\n",
       "      '13': '2008',\n",
       "      '14': '2007',\n",
       "      '15': '2006',\n",
       "      '16': '2005',\n",
       "      '17': '2004',\n",
       "      '18': '2003',\n",
       "      '19': '2002',\n",
       "      '20': '2001',\n",
       "      '21': '2000'}}},\n",
       "   'id': ['Flughafen', 'Art des Verkehrs', 'Monat', 'Jahr'],\n",
       "   'size': [1, 2, 12, 22],\n",
       "   'role': {}},\n",
       "  'label': 'Flugbewegungen (Starts und Landungen) im Linien- und Charterverkehr nach Flughafen, Art des Verkehrs, Monat und Jahr',\n",
       "  'source': 'BFS - Luftverkehr, Linien- und Charterverkehr - © BFS',\n",
       "  'updated': '2019-09-05T06:30:00Z',\n",
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       "   1004]}}"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Erster Blick in die Struktur der Daten\n",
    "data.json()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "5f241965",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['status', 'dimension', 'label', 'source', 'updated', 'value']"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Die oberste Ebene 'dataset' genauer anschauen\n",
    "list(data.json()['dataset'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "81a05265",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Flughafen', 'Art des Verkehrs', 'Monat', 'Jahr', 'id', 'size', 'role']"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Relevant sind 'value' (=Wert) und einige der Angaben unter 'dimension'\n",
    "list(data.json()['dataset']['dimension'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "6e41b305",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Die relevanten Daten als Listen herausfiltern\n",
    "monat = data.json()['dataset']['dimension']['Monat']['category']['label']\n",
    "monat = list(monat.values())\n",
    "jahr = data.json()['dataset']['dimension']['Jahr']['category']['label']\n",
    "jahr = list(jahr.values())\n",
    "flüge = data.json()['dataset']['value']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "399ace5f",
   "metadata": {},
   "source": [
    "Die Daten (Anzahl Flüge) liegen in einer Liste vor, die verschiedene Dimensions beinhaltet. Konkret: Zuerst sind die Zahlen der Art des Verkehrs \"Linienverkehr\" hintereinander erfasst. Dabei werden erst die Zahlen aller Januare von 2021 bis 2000 zurück hintereinander abgebildet, danach alle Februare usw. Wenn alle Monate durch sind, folgt die Art des Verkehrs \"Charterverkehr\", wiederum für alle Monate.\n",
    "\n",
    "Das heisst auch, es sind pro Jahr zwei verschiedene Januare, zwei verschiedene Februare usw. enthalten, also 2 x 12 = 24 Monate. Die Länge der Liste passagiere ergibt sich aus diesen 24 Monaten und den Anzahl Jahren, die abgefragt werden."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "333d8bca",
   "metadata": {},
   "source": [
    "Im Datensatz sind n Anzahl Jahre enthalten. Das heisst, es gibt in der Liste passagiere n Einträge eines Monats einer Verkehrsart. Nach diesen n einzelnen Werten folgt jeweils der nächste Monat."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "1bd9a18b",
   "metadata": {},
   "outputs": [],
   "source": [
    "n = int(len(flüge))/24 #Pro Jahr sind 24 Monate (2x12) enthalten. Die Länge der Liste durch 24 ergibt die Anzahl Jahre.\n",
    "n = int(n)\n",
    "monate=[flüge[i:i + n] for i in range(0, len(flüge), n)] #Aufteilen der Liste in Listen einzelner Monate"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "51b9c866",
   "metadata": {},
   "source": [
    "Wir haben nun für alle Monate einzelne Listen, die wiederum in einer Liste enthalten sind. Jeweils 12 Listen sind ein Jahr (Januar bis Dezember) für die oben erwähnten unterschiedlichen Verkehrsarten. Daraus können wir unterschiedliche Dataframes machen."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "93ad9859",
   "metadata": {},
   "outputs": [],
   "source": [
    "dflinie = pd.DataFrame(monate[0:12])\n",
    "dfcharter = pd.DataFrame(monate[12:24])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "00f54f66",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Indexe als Monat\n",
    "dflinie.index = monat\n",
    "dfcharter.index = monat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "08ee0008",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Jahre als Header\n",
    "dflinie.columns = jahr\n",
    "dfcharter.columns = jahr"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "944111d7",
   "metadata": {},
   "source": [
    "Wir haben nun zwei Dataframes:\n",
    "- Linienverkehr\n",
    "- Charterverkehr\n",
    "\n",
    "Diese liegen in einer Art Matrix vor. Für die Weiterbearbeitung wäre es günstiger, die Dataframes wären in einem Wide-Format."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "6dabd909",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'German_Germany.1252'"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import locale\n",
    "locale.setlocale(locale.LC_ALL, 'deu_deu') #locale auf Deutsch umstellen, weil wir mit Datumsangaben arbeiten müssen"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b6b96ad2",
   "metadata": {},
   "source": [
    "Um aus der Matrix eine Tabelle mit einer Zeile zu machen, müssen wir das einzelne Dataframe zuerst \"stacken\" und dann pivotieren. Danach konvertieren wir die Spalten, die jetzt als Text in zwei Header-Leveln vorliegen als Datetime-Format und sortieren."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "cad467fc",
   "metadata": {},
   "outputs": [],
   "source": [
    "dflinie = dflinie.stack().reset_index().pivot_table(columns=[\"level_1\",\"level_0\"])\n",
    "dfcharter = dfcharter.stack().reset_index().pivot_table(columns=[\"level_1\",\"level_0\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "22f8f733",
   "metadata": {},
   "outputs": [],
   "source": [
    "dflinie.columns = pd.to_datetime([\"-\".join(col).strip() for col in dflinie.columns.values],format=\"%Y-%B\")\n",
    "dflinie = dflinie.reindex(sorted(dflinie.columns, key=lambda x: (x.year, x.month)), axis=1) \n",
    "dfcharter.columns = pd.to_datetime([\"-\".join(col).strip() for col in dfcharter.columns.values],format=\"%Y-%B\")\n",
    "dfcharter = dfcharter.reindex(sorted(dfcharter.columns, key=lambda x: (x.year, x.month)), axis=1) "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a1f405f7",
   "metadata": {},
   "source": [
    "Die Header würden jetzt im Muster 2021-01-01 angezeigt, weshalb wir diese wiederum zu Strings nach dem Muster 2021-Jan konvertieren."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "f564b718",
   "metadata": {},
   "outputs": [],
   "source": [
    "dflinie.columns = [col.strftime(\"%Y-%b\") for col in dflinie.columns]\n",
    "dfcharter.columns = [col.strftime(\"%Y-%b\") for col in dfcharter.columns]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "77e64408",
   "metadata": {},
   "source": [
    "Nun führen wir die Dataframes zu einem zusammen."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "75307d2d",
   "metadata": {},
   "outputs": [],
   "source": [
    "frames = [dflinie, dfcharter]\n",
    "df = pd.concat(frames)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1712bd65",
   "metadata": {},
   "source": [
    "Damit der Index stimmt, ergänzen wir eine weitere Column, die wir dann zum Index machen."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "a7dfb713",
   "metadata": {},
   "outputs": [],
   "source": [
    "index = [\"Linienverkehr\", \"Charterverkehr\"]\n",
    "df[\"index\"] = index\n",
    "df.set_index(\"index\", inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8e4a042e",
   "metadata": {},
   "source": [
    "## 2. Schritt: Daten auswerten"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "47dd768f",
   "metadata": {},
   "source": [
    "In einem ersten Schritt schauen wir uns die Entwicklung der Flugbewegungen an."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "48c4b8f1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.T.plot(figsize=(15,6))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bf2395a2",
   "metadata": {},
   "source": [
    "Indem wir uns den Zeitraum ab 2018 anschauen, können wir Jahresmuster erkennen."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "45e66226",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.iloc[0:1,216:].T.plot(figsize=(15,6), grid=True) #Linienverkehr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "712141af",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.iloc[1:2,216:].T.plot(figsize=(15,6), grid=True) #Charterverkehr"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "42ea86f6",
   "metadata": {},
   "source": [
    "Nun analysieren wir Veränderungen zum Vorjahr und zum Vormonat. Dazu hängen wir der transponierten Tabelle die Spalten mit Vorjahres- (YoY) und Vormonatsveränderungen (MoM) an."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "8341e33d",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_vorjahr = df.T\n",
    "df_vorjahr[\"Linie YoY\"] = df_vorjahr[\"Linienverkehr\"].pct_change(12).mul(100)\n",
    "df_vorjahr[\"Charter YoY\"] = df_vorjahr[\"Charterverkehr\"].pct_change(12).mul(100)\n",
    "df_vorjahr[\"Linie MoM\"] = df_vorjahr[\"Linienverkehr\"].pct_change().mul(100)\n",
    "df_vorjahr[\"Charter MoM\"] = df_vorjahr[\"Charterverkehr\"].pct_change().mul(100)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "673fdb82",
   "metadata": {},
   "source": [
    "Nun betrachten wir die Veränderungen in den verschiedenen Dimensionen."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "8e4b586b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_vorjahr.iloc[216:,4:5].plot(kind=\"bar\", figsize=(15,6)) #Vormonat, Linineverkehr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "db2c31a9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_vorjahr.iloc[216:,2:3].plot(kind=\"bar\", figsize=(15,6)) #Vorjahr, Linienverkehr"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e16cc707",
   "metadata": {},
   "source": [
    "Die Grafik hat ein offensichtliches Problem: Der Einbruch wegen der Pandemie (ab März 2000) kann allerhöchstens 100 Prozent sein. Die Erholung im 2021 scheint extrem hoch, sie wird aber mit den Pandemiemonaten 2020 verglichen und ist deshalb überzeichnet. Selbst im April mit einem Plus von rund 400% zum Vorjahr sind die Flugbewegungen noch deutlicher unter dem Vor-Pandemie-Wert. Für die Erholung des Flugverkehrs sind deshalb Vergleiche mit 2019 sinnvoller. Deshalb erstellen wir zwei Dataframes, eines mit 2019er-Werten, eines mit jenen danach. Und eruieren dann jeweils die Differenz der Monate während der Pandemie mit jenen vor der Pandemie."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "a80f18d1",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_2019 = df.iloc[:,228:240].T.reset_index()\n",
    "df_pandemie = df.iloc[:,240:].T.reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "474109b6",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Dataframes mit unterschiedlichen Längen\n",
    "difflinie = df_pandemie['Linienverkehr'].sub(df_pandemie['index'].str.split('-').str[-1].map(dict(zip(df_2019['index'].str.split('-').str[-1], df_2019['Linienverkehr']))))\n",
    "diffcharter = df_pandemie['Charterverkehr'].sub(df_pandemie['index'].str.split('-').str[-1].map(dict(zip(df_2019['index'].str.split('-').str[-1], df_2019['Charterverkehr']))))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "19d32fe7",
   "metadata": {},
   "source": [
    "Die Erklärung dieser Codezeile bzw. Codezeilen (es ist zweimal dasselbe Vorgehen):\n",
    "* Im ersten Teil des Teils nach .sub (zum Teil davor weiter unten) (bis vor .map) nehmen wir den Monat des Pandemie-Dfs.\n",
    "* Auf diesen Teil wenden wir später .map an.\n",
    "* In der Klammer nach .map wird ein Dictionary erzeugt mit dem Monat des 2019-Dataframes und dem entsprechenden Wert des Monats im gleichen Dataframe.\n",
    "* Der Key dieses Dictionarys ist dann jeweils der Monat. \n",
    "* .map nimmt nun den Monat vom ersten Teil (also vom Pandemie-Dataframe) und sucht den korrekten Key vom Dictionary (also den Monat vom 2019-Dataframe) und gibt den Wert davon aus.\n",
    "* In der Klammer nach .sub steht also am Ende ein Wert, der vom Wert vom Teil vor .sub abgezogen wird. Vor .sub steht das Pandemie-Dataframe. Es ergibt sich also am Schluss: Monatswert im Pandemie-Dataframe minus Monatswert im 2019er-Dataframe gleich Differenz vom Monat ab 2020 zum gleichen Monat im Jahr 2019."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "020ef903",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Neue Spalten dem Dataframe anhängen\n",
    "df_pandemie['Linienverkehr zu 2019'] = difflinie\n",
    "df_pandemie['Charterverkehr zu 2019'] = diffcharter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "3735e9ad",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_pandemie.set_index('index', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "a7ff59b5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='index'>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_pandemie.iloc[:,2:3].plot(kind=\"bar\", figsize=(15,6)) #Unterschiede zum Vor-Pandemie-Monat, Linienverkehr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "964d059f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='index'>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_pandemie.iloc[:,3:4].plot(kind=\"bar\", figsize=(15,6)) #Unterschiede zum Vor-Pandemie-Monat, Charterverkehr"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "00ff97b4",
   "metadata": {},
   "source": [
    "Nun berechnen wir die Unterschiede in Prozent."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "e1ccaf05",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_pandemie['Linienverkehr zu 2019 in %'] = df_pandemie['Linienverkehr zu 2019']/(df_pandemie[\"Linienverkehr\"] - df_pandemie['Linienverkehr zu 2019'])*100\n",
    "df_pandemie['Charterverkehr zu 2019 in %'] = df_pandemie['Charterverkehr zu 2019']/(df_pandemie[\"Charterverkehr\"] - df_pandemie['Charterverkehr zu 2019'])*100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "4734beee",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='index'>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_pandemie.iloc[:,4:5].plot(kind=\"bar\", figsize=(15,6)) #Unterschiede zum Vor-Pandemie-Monat in %, Linienverkehr "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "b97c68da",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='index'>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_pandemie.iloc[:,5:6].plot(kind=\"bar\", figsize=(15,6)) #Unterschiede zum Vor-Pandemie-Monat in Prozent, Charterverkehr"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}