32 lines
1.3 KiB
Python
32 lines
1.3 KiB
Python
from DataFrameFilter import DataFrameFilter
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import VaersReader
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import pandas as pd
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from VaersDescrReader import VaersDescrReader
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def getInternationalVaersCovid19(years):
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internationalVaers = pd.concat(
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[
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VaersReader.getVaersForYears(years),
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VaersReader.getNonDomesticVaers()
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])
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internationalVaersCovid19 = DataFrameFilter().filterByCovid19(internationalVaers)
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return internationalVaersCovid19
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def get_international_VAERSVAX_VAERSSYMPTOMS_Covid19(years):
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international_VAERSVAX, international_VAERSSYMPTOMS = _get_international_VAERSVAX_VAERSSYMPTOMS(years)
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international_VAERSVAX.dropna(subset = ['VAX_LOT'], inplace = True)
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international_VAERSVAX_Covid19 = DataFrameFilter().filterByCovid19(international_VAERSVAX)
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return international_VAERSVAX_Covid19, international_VAERSSYMPTOMS
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def _get_international_VAERSVAX_VAERSSYMPTOMS(years):
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vaersDescrReader = VaersDescrReader(dataDir = "VAERS")
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internationalVaersDescrs = vaersDescrReader.readVaersDescrsForYears(years) + [vaersDescrReader.readNonDomesticVaersDescr()]
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return _getVaersDescrByName(internationalVaersDescrs, 'VAERSVAX'), _getVaersDescrByName(internationalVaersDescrs, 'VAERSSYMPTOMS')
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def _getVaersDescrByName(vaersDescrs, vaersDescrName):
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return pd.concat([vaersDescr[vaersDescrName] for vaersDescr in vaersDescrs])
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