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reading symptomByVaccineInPercent dataframe

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frankknoll
2023-10-08 20:55:44 +02:00
parent 0ae0f1a73d
commit ee381d0757
1 changed files with 40 additions and 3 deletions
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src/HowBadIsMyBatch.ipynb
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@@ -213,8 +213,8 @@
"outputs": [], "outputs": [],
"source": [ "source": [
"# df = countryCountsByBatchcode.loc[(slice(None), 'Germany'), :][['COUNTRY_COUNT_BY_VAX_LOT Clicked']].sort_values(by = 'COUNTRY_COUNT_BY_VAX_LOT Clicked', ascending = False)\n", "# df = countryCountsByBatchcode.loc[(slice(None), 'Germany'), :][['COUNTRY_COUNT_BY_VAX_LOT Clicked']].sort_values(by = 'COUNTRY_COUNT_BY_VAX_LOT Clicked', ascending = False)\n",
"dataframe = countryCountsByBatchcode.loc[(slice(None), 'Germany'), :].sort_values(by = 'COUNTRY_COUNT_BY_VAX_LOT Clicked', ascending = False)\n", "symptomByVaccineInPercent = countryCountsByBatchcode.loc[(slice(None), 'Germany'), :].sort_values(by = 'COUNTRY_COUNT_BY_VAX_LOT Clicked', ascending = False)\n",
"dataframe" "symptomByVaccineInPercent"
] ]
}, },
{ {
@@ -326,7 +326,10 @@
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
"source": [ "source": [
"OVERALL_DOSES_SHIPPED_by_LOT_NUMBER = vaccineDistributionByZipcode.groupby('LOT_NUMBER').agg(OVERALL_DOSES_SHIPPED = pd.NamedAgg(column = 'DOSES_SHIPPED', aggfunc = sum))\n", "OVERALL_DOSES_SHIPPED_by_LOT_NUMBER = (\n",
" vaccineDistributionByZipcode\n",
" .groupby('LOT_NUMBER')\n",
" .agg(OVERALL_DOSES_SHIPPED = pd.NamedAgg(column = 'DOSES_SHIPPED', aggfunc = sum)))\n",
"OVERALL_DOSES_SHIPPED_by_LOT_NUMBER" "OVERALL_DOSES_SHIPPED_by_LOT_NUMBER"
] ]
}, },
@@ -425,6 +428,40 @@
"IOUtils.saveDataFrameAsJson(vaccineDistributionByZipcode, '../docs/data/vaccineDistributionByZipcode/VaccineDistributionByZipcode.json')\n", "IOUtils.saveDataFrameAsJson(vaccineDistributionByZipcode, '../docs/data/vaccineDistributionByZipcode/VaccineDistributionByZipcode.json')\n",
"saveLastUpdated2HtmlFile(dateProvider.getLastUpdatedDataSource(), \"../docs/VaccineDistributionByZipcode.html\")" "saveLastUpdated2HtmlFile(dateProvider.getLastUpdatedDataSource(), \"../docs/VaccineDistributionByZipcode.html\")"
] ]
},
{
"cell_type": "markdown",
"id": "3e47c62c",
"metadata": {},
"source": [
"# Symptoms caused by Vaccines\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "6505ec4c",
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"\n",
"symptomByVaccineInPercent = pd.read_csv(\n",
" 'data/ratings-1990-2022.csv',\n",
" index_col = 'VAX_TYPE',\n",
" usecols = lambda columnName: columnName != 'Unnamed: 0')\n",
"symptomByVaccineInPercent"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "90bde4c8",
"metadata": {},
"outputs": [],
"source": [
"symptomByVaccineInPercent.loc['COVID19'].sum()"
]
} }
], ],
"metadata": { "metadata": {