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refactoring

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frankknoll
2022-02-25 19:05:17 +01:00
parent 8b916933e5
commit 3d5b8e32b5
1 changed files with 4 additions and 7 deletions
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11
src/Intensivstationen.ipynb
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@@ -22,22 +22,19 @@
"outputs": [],
"source": [
"def readTimeseries(bundesland = None):\n",
" df = pd.read_csv(\n",
" dataFrame = pd.read_csv(\n",
" 'intensivstationen/zeitreihe-bundeslaender.csv',\n",
" low_memory = False,\n",
" parse_dates = ['Datum'],\n",
" date_parser = lambda dateStr: pd.to_datetime(dateStr, utc = True))\n",
" if bundesland is not None:\n",
" return df[df['Bundesland'] == bundesland][['Datum', 'Belegte_Intensivbetten', 'Freie_Intensivbetten', '7_Tage_Notfallreserve']]\n",
" return dataFrame[dataFrame['Bundesland'] == bundesland][['Datum', 'Belegte_Intensivbetten', 'Freie_Intensivbetten', '7_Tage_Notfallreserve']]\n",
" else:\n",
" res = df.groupby('Datum').agg(**{\n",
" return dataFrame.groupby('Datum').agg(**{\n",
" 'Belegte_Intensivbetten': pd.NamedAgg(column = 'Belegte_Intensivbetten', aggfunc = 'sum'),\n",
" 'Freie_Intensivbetten': pd.NamedAgg(column = 'Freie_Intensivbetten', aggfunc = 'sum'),\n",
" '7_Tage_Notfallreserve': pd.NamedAgg(column = '7_Tage_Notfallreserve', aggfunc = 'sum'), \n",
" })\n",
" #df = df[['Datum', 'Belegte_Intensivbetten', 'Freie_Intensivbetten', '7_Tage_Notfallreserve']]\n",
" #res.to_csv('../docs/data/intensivstationen/data-de-generated.csv', index = True)\n",
" return res.reset_index()"
" }).reset_index()"
]
},
{