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Update app.py
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app.py
CHANGED
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@@ -245,8 +245,8 @@ 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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-
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-
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filled.append("Total paddings (0.1): "+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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@@ -626,7 +626,6 @@ def process(files,button):
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# sum new
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ncols = df.columns
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sums_new = ['{:,.2f}'.format(df[col].sum()) if np.issubdtype(df[col].dtype, np.number) else "-" for col in ncols]
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-
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#display(df)
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name = os.path.basename(name)
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#print(columns)
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@@ -636,6 +635,9 @@ def process(files,button):
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sheetwarnings = [warnings,'FFA500']
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if len(filled_warn) == 0:
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filled_warn = ['No fillings']
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sheet_data[name] = {
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"Before columns": [old_olds],
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'Sum Before':[sums_old,None,True],
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l_missing_df[lob] = l
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missing_quarters.append(l_missing_df)
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+
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filled.append([lobs_dict.keys(),lobs_dict[c_lob]])
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filled.append("Total paddings (0.1): "+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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# sum new
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ncols = df.columns
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sums_new = ['{:,.2f}'.format(df[col].sum()) if np.issubdtype(df[col].dtype, np.number) else "-" for col in ncols]
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#display(df)
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name = os.path.basename(name)
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#print(columns)
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sheetwarnings = [warnings,'FFA500']
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if len(filled_warn) == 0:
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filled_warn = ['No fillings']
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else:
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tempt_list = [element for element in filled_warn[-2][0] if element in columns]
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filled_warn[-2] = "Padded columns "+str(filled_warn[-2][0])+" with total of "+str(round(filled_warn[-2][1]))
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sheet_data[name] = {
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"Before columns": [old_olds],
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'Sum Before':[sums_old,None,True],
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