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app1.py
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app1.py
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"""
app1.py illustrates use of pitaxcalc-demo release 2.0.0 (India version).
USAGE: python app1.py > app1.res
CHECK: Use your favorite Windows diff utility to confirm that app1.res is
the same as the app1.out file that is in the repository.
"""
from taxcalc import *
# create Records object containing pit.csv and pit_weights.csv input data
recs = Records()
# create GSTRecords object containing gst.csv and gst_weights.csv input data
grecs = GSTRecords()
assert isinstance(grecs, GSTRecords)
assert grecs.data_year == 2017
assert grecs.current_year == 2017
# create CorpRecords object containing cit.csv and cit_weights.csv input data
crecs = CorpRecords()
assert isinstance(crecs, CorpRecords)
assert crecs.data_year == 2017
assert crecs.current_year == 2017
# create Policy object containing current-law policy
pol = Policy()
# specify Calculator object for current-law policy
calc1 = Calculator(policy=pol, records=recs, gstrecords=grecs,
corprecords=crecs, verbose=False)
calc1.calc_all()
# specify Calculator object for reform in JSON file
reform = Calculator.read_json_param_objects('GST_reform.json', None)
pol.implement_reform(reform['policy'])
calc1 = Calculator(policy=pol, records=recs, gstrecords=grecs,
corprecords=crecs, verbose=False)
calc2.calc_all()
# compare aggregate results from two calculators
weighted_tax1 = calc1.weighted_total('pitax')
weighted_tax2 = calc2.weighted_total('pitax')
total_weights = calc1.total_weight()
print(f'Tax 1 {weighted_tax1 * 1e-9:,.2f}')
print(f'Tax 2 {weighted_tax2 * 1e-9:,.2f}')
print(f'Total weight {total_weights * 1e-6:,.2f}')
# Show results from corporate tax
print(calc1.carray('NET_TAX_LIABILTY'))
print(calc2.carray('NET_TAX_LIABILITY_A'))
# dump out records
dump_vars = ['FILING_SEQ_NO', 'AGEGRP', 'SALARIES', 'INCOME_HP',
'TOTAL_PROFTS_GAINS_BP', 'TOTAL_INCOME_OS', 'GTI', 'TTI']
dumpdf = calc1.dataframe(dump_vars)
dumpdf['pitax1'] = calc1.array('pitax')
dumpdf['pitax2'] = calc2.array('pitax')
dumpdf['pitax_diff'] = dumpdf['pitax2'] - dumpdf['pitax1']
column_order = dumpdf.columns
assert len(dumpdf.index) == calc1.array_len
dumpdf.to_csv('app1-dump.csv', columns=column_order,
index=False, float_format='%.0f')