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Fix stat_dataframe function nested in create_distribution_table utility function #1834

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Jan 18, 2018
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22 changes: 14 additions & 8 deletions taxcalc/utils.py
Original file line number Diff line number Diff line change
Expand Up @@ -310,14 +310,16 @@ def stat_dataframe(gpdf):
Nested function that returns statistics DataFrame derived from the
specified grouped Dataframe object, gpdf.
"""
sdf = pd.DataFrame()
unweighted_columns = set(['s006', 'num_returns_StandardDed',
'num_returns_ItemDed', 'num_returns_AMT'])
for col in unweighted_columns:
sdf[col] = gpdf.apply(unweighted_sum, col)
weighted_columns = set(DIST_TABLE_COLUMNS) - unweighted_columns
for col in weighted_columns:
sdf[col] = gpdf.apply(weighted_sum, col)
unweighted_columns = ['s006', 'num_returns_StandardDed',
'num_returns_ItemDed', 'num_returns_AMT']
stats = list()
for col in DIST_TABLE_COLUMNS:
if col in unweighted_columns:
stats.append(gpdf.apply(unweighted_sum, col))
else:
stats.append(gpdf.apply(weighted_sum, col))
sdf = pd.DataFrame(data=np.column_stack(stats),
columns=DIST_TABLE_COLUMNS)
return sdf

# main logic of create_distribution_table
Expand Down Expand Up @@ -369,6 +371,8 @@ def stat_dataframe(gpdf):
dist_table[col] /= dist_table['s006']
# set print display format for float table elements
pd.options.display.float_format = '{:8,.0f}'.format
# ensure dist_table columns are in correct order
assert dist_table.columns.values.tolist() == DIST_TABLE_COLUMNS
return dist_table


Expand Down Expand Up @@ -536,6 +540,8 @@ def weighted_share_of_total(gpdf, colname, total):
diffs[col] *= 100.0
# set print display format for float table elements
pd.options.display.float_format = '{:10,.2f}'.format
# ensure diffs columns are in correct order
assert diffs.columns.values.tolist() == DIFF_TABLE_COLUMNS
return diffs


Expand Down