refactoring
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@@ -5,23 +5,24 @@ class SymptomsByBatchcodesTableFactory:
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@staticmethod
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def createSymptomsByBatchcodesTable(VAERSVAX, VAERSSYMPTOMS):
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index_columns = ['VAX_LOT1', 'VAX_LOT2']
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return pd.merge(
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SymptomsByBatchcodesTableFactory._get_VAERSVAX_WITH_VAX_LOTS(VAERSVAX),
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SymptomsByBatchcodesTableFactory._get_VAERSVAX_WITH_VAX_LOTS(VAERSVAX, index_columns),
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SymptomsByBatchcodesTableFactory._getSymptomsTable(VAERSSYMPTOMS),
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on = 'VAERS_ID').set_index(['VAX_LOT1', 'VAX_LOT2'])[['SYMPTOMS']]
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on = 'VAERS_ID').set_index(index_columns)[['SYMPTOMS']]
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@staticmethod
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def _get_VAERSVAX_WITH_VAX_LOTS(VAERSVAX):
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def _get_VAERSVAX_WITH_VAX_LOTS(VAERSVAX, index_columns):
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return pd.concat(
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[VAERSVAX, SymptomsByBatchcodesTableFactory._getVaxLotsTable(VAERSVAX)],
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axis='columns').reset_index().drop_duplicates(subset=['VAERS_ID', 'VAX_LOT1', 'VAX_LOT2'])
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[VAERSVAX, SymptomsByBatchcodesTableFactory._getVaxLotsTable(VAERSVAX, index_columns)],
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axis='columns').reset_index().drop_duplicates(subset = ['VAERS_ID'] + index_columns)
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@staticmethod
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def _getVaxLotsTable(VAERSVAX):
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def _getVaxLotsTable(VAERSVAX, index_columns):
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VAX_LOT_LIST_Table = VAERSVAX.groupby("VAERS_ID").agg(VAX_LOT_LIST = pd.NamedAgg(column = 'VAX_LOT', aggfunc = list))
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return pd.DataFrame(
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[fill(VAX_LOTS, 2, str(np.nan)) for VAX_LOTS in VAX_LOT_LIST_Table['VAX_LOT_LIST'].tolist()],
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columns = ['VAX_LOT1', 'VAX_LOT2'],
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columns = index_columns,
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index = VAX_LOT_LIST_Table.index)
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@staticmethod
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