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rki-impfparser
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fix: Removed old code

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Benedikt Bastin 2021-04-16 12:13:14 +02:00
parent 580b703fb5
commit 42c275762a
1 changed files with 0 additions and 101 deletions
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plot.py
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@ -193,107 +193,6 @@ filename_stand = stand_date.strftime("%Y%m%d%H%M%S")
print(f"Effective {stand_date}, last reported date {dates.iloc[-1].date()}")
'''
# Infos der einzelnen Länder
details_sheet_name = (set(rki_file.keys()) - {'Erläuterung', 'Impfungen_proTag'}).pop()
details_sheet = rki_file[details_sheet_name]
regionalcodes = details_sheet['RS'].iloc[0:17]
land_names = details_sheet['Bundesland'].iloc[0:17]
total_vaccinations_by_land = details_sheet['Impfungen kumulativ'].iloc[0:17]
vaccination_per_mille_by_land = details_sheet['Impfungen pro 1.000 Einwohner'].iloc[0:17]
vaccination_reason_age_by_land = details_sheet['Indikation nach Alter*'].iloc[0:17]
vaccination_reason_job_by_land = details_sheet['Berufliche Indikation*'].iloc[0:17]
vaccination_reason_medical_by_land = details_sheet['Medizinische Indikation*'].iloc[0:17]
vaccination_reason_oldhome_by_land = details_sheet['Pflegeheim-bewohnerIn*'].iloc[0:17]
details_per_land = {}
details_per_land_formatted = {}
# Regionalcodes der Länder zu Abkürzung und Name (Plus gesamt)
laendernamen = [
('SH', 'Schleswig-Holstein'),
('HH', 'Hamburg'),
('NI', 'Niedersachsen'),
('HB', 'Bremen'),
('NW', 'Nordrhein-Westfalen'),
('HE', 'Hessen'),
('RP', 'Rheinland-Pfalz'),
('BW', 'Baden-Württemberg'),
('BY', 'Bayern'),
('SL', 'Saarland'),
('BE', 'Berlin'),
('BB', 'Brandenburg'),
('MV', 'Mecklenburg-Vorpommern'),
('SN', 'Sachsen'),
('ST', 'Sachsen-Anhalt'),
('TH', 'Thüringen'),
('𝚺', 'Gesamt')
]
def row_to_details(i):
regionalcode = regionalcodes[i] if i != 16 else 16
print(laendernamen[regionalcode])
shortname, name = laendernamen[regionalcode]
return {
'name': name,
'shortname': shortname,
'total_vaccinations': int(total_vaccinations_by_land[i]),
'total_vaccinations_percentage': vaccination_per_mille_by_land[i] / 10,
'vaccination_reason_age': int(vaccination_reason_age_by_land[i]),
'vaccination_reason_age_percentage': np.round(vaccination_reason_age_by_land[i] / total_vaccinations_by_land[i] * 100),
'vaccination_reason_job': int(vaccination_reason_job_by_land[i]),
'vaccination_reason_job_percentage': np.round(vaccination_reason_job_by_land[i] / total_vaccinations_by_land[i] * 100),
'vaccination_reason_medical': int(vaccination_reason_medical_by_land[i]),
'vaccination_reason_medical_percentage': np.round(vaccination_reason_medical_by_land[i] / total_vaccinations_by_land[i] * 100),
'vaccination_reason_oldhome': int(vaccination_reason_oldhome_by_land[i]),
'vaccination_reason_oldhome_percentage': np.round(vaccination_reason_oldhome_by_land[i] / total_vaccinations_by_land[i] * 100),
}
def row_to_details_formatted(i):
regionalcode = regionalcodes[i] if i != 16 else 16
print(laendernamen[regionalcode])
shortname, name = laendernamen[regionalcode]
return {
'name': name,
'shortname': shortname,
'total_vaccinations': '{:n}'.format(int(total_vaccinations_by_land[i])).replace('.', ' '),
'total_vaccinations_percentage': '{:.3n}'.format(np.round(vaccination_per_mille_by_land[i] / 10, 2)),
'vaccination_reason_age': '{:n}'.format(int(vaccination_reason_age_by_land[i])).replace('.', ' '),
'vaccination_reason_age_percentage': '{:n}'.format(np.round(vaccination_reason_age_by_land[i] / total_vaccinations_by_land[i] * 100)),
'vaccination_reason_job': '{:n}'.format(int(vaccination_reason_job_by_land[i])).replace('.', ' '),
'vaccination_reason_job_percentage': '{:n}'.format(np.round(vaccination_reason_job_by_land[i] / total_vaccinations_by_land[i] * 100)),
'vaccination_reason_medical': '{:n}'.format(int(vaccination_reason_medical_by_land[i])).replace('.', ' '),
'vaccination_reason_medical_percentage': '{:n}'.format(np.round(vaccination_reason_medical_by_land[i] / total_vaccinations_by_land[i] * 100)),
'vaccination_reason_oldhome': '{:n}'.format(int(vaccination_reason_oldhome_by_land[i])).replace('.', ' '),
'vaccination_reason_oldhome_percentage': '{:n}'.format(np.round(vaccination_reason_oldhome_by_land[i] / total_vaccinations_by_land[i] * 100))
}
for i in range(len(land_names) - 1):
details_per_land[land_names[i]] = row_to_details(i)
details_per_land_formatted[land_names[i]] = row_to_details_formatted(i)
details_total = row_to_details(16)
details_total_formatted = row_to_details_formatted(16)
'''
archive_folder = site_folder + 'archive/' + filename_stand