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Update app.py
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app.py
CHANGED
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@@ -193,6 +193,7 @@ def col_to_ints(df,columns_to_convert):
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def fill_missing_quarters(df, lob, acc, transaction):
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filled = []
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print('accident',acc,'transaction',transaction)
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columns_to_convert = [acc,transaction] # Only affect acc and transaction
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@@ -228,6 +229,7 @@ def fill_missing_quarters(df, lob, acc, transaction):
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l_missing_df[col] = [str(end_year) + '12'] * len(l_quarters)
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else:
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l_missing_df[col] = 0.1
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if len(l_quarters) > 0 :
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filled_warn = str(l)+' was filled with the dates '+str(l_quarters)
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@@ -237,6 +239,7 @@ def fill_missing_quarters(df, lob, acc, transaction):
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l_missing_df[lob] = l
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missing_quarters.append(l_missing_df)
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print("=="*100)
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print('Unique values in', acc, 'for missing quarters:', l_missing_df[acc].unique())
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# Concatenate the original dataframe and the missing quarters dataframe
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def fill_missing_quarters(df, lob, acc, transaction):
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filled = []
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missing_count = 0
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print('accident',acc,'transaction',transaction)
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columns_to_convert = [acc,transaction] # Only affect acc and transaction
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l_missing_df[col] = [str(end_year) + '12'] * len(l_quarters)
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else:
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l_missing_df[col] = 0.1
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missing_count = missing_count + 1
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if len(l_quarters) > 0 :
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filled_warn = str(l)+' was filled with the dates '+str(l_quarters)
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l_missing_df[lob] = l
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missing_quarters.append(l_missing_df)
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filled.append("Missing total: "+str(missing_count))
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print("=="*100)
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print('Unique values in', acc, 'for missing quarters:', l_missing_df[acc].unique())
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# Concatenate the original dataframe and the missing quarters dataframe
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