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app_dist_tables_avg_total.py
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"""
app_dist_tables_avg_total.py illustrates use of TPRU-India taxcalc 2.0.0
USAGE: python app_dist_tables_avg_total.py
"""
import locale
import pandas as pd
from taxcalc import *
import numpy as np
from babel.numbers import format_currency
def remove_decimal(S):
S = str(S)
S = S[:-3]
return S
def ind_currency(curr):
curr_str = format_currency(curr, 'INR',
locale='en_IN').replace(u'\xa0', u' ')
return(remove_decimal(curr_str))
def convert_df(df, cols):
# breakup the dataframe into cols and others
df1 = df[cols].copy(deep=True)
cols_other = df.columns.difference(cols)
df2 = df[cols_other].copy(deep=True)
# strip the first row and make it into a list
for i in range(len(df)):
# print('i '+ str(i))
row = df1.loc[i].values.tolist()
# print(row)
# take the list and build a new list element by element
row1 = []
for j in range(len(row)):
# row1.append(format_it(str(row[i])))
# row1.append(format_it(row[i]))
value_str = ind_currency(row[j])
row1.append(value_str)
# replace the row with the changed list
df1.loc[i] = row1
# reassemble the dataframe
df = pd.concat([df2, df1], axis=1)
return(df)
# create Records object containing pit.csv and pit_weights.csv input data
recs = Records(data='pit.csv', weights='pit_weights.csv')
grecs = GSTRecords()
crecs = CorpRecords()
# 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)
# specify Calculator object for reform in JSON file
reform = Calculator.read_json_param_objects('Budget2019_reform.json', None)
# print(reform['policy'])
pol.implement_reform(reform['policy'])
calc2 = Calculator(policy=pol, records=recs, gstrecords=grecs,
corprecords=crecs, verbose=False)
# loop through years 2017, 2018, 2019, and 2020 and print out pitax
START_YEAR = 2017
END_YEAR = 2023
BASE_YEAR = 2019
wtd_tax_clp = {}
wtd_tax_ref = {}
wtd_tot = {}
for year in range(START_YEAR, END_YEAR+1):
calc1.advance_to_year(year)
calc2.advance_to_year(year)
calc1.calc_all()
calc2.calc_all()
weighted_tax1 = calc1.weighted_total('pitax')
weighted_tax2 = calc2.weighted_total('pitax')
total_weights = calc1.total_weight()
wtd_tax_clp[year] = weighted_tax1
wtd_tax_ref[year] = weighted_tax2
wtd_tot[year] = total_weights
if (year >= BASE_YEAR):
print(f'**************** Total Tax Collection for {year}', end=' ')
print('****************')
print('\n')
print(f'Current Law: Tax Collection in Rs. Cr. for {year}:', end=' ')
print(f'{weighted_tax1 * 1e-7:,.2f}')
print(f'Reform : Tax Collection in Rs. Cr. for {year}:', end=' ')
print(f'{weighted_tax2 * 1e-7:,.2f}')
print(' Difference in Tax Collection:', end=' ')
print(f'{(weighted_tax2-weighted_tax1) * 1e-7:,.2f} Cr.')
print('\n')
print(f'Representing: {total_weights * 1e-5:,.2f} Lakh taxpayers')
print('\n')
for output_in_averages in [False, True]:
output_categories = 'standard_income_bins'
# pd.options.display.float_format = '{:,.3f}'.format
# dt1, dt2 = calc1.distribution_tables(calc2, 'weighted_deciles')
dt1, dt2 = calc1.distribution_tables(calc2, output_categories,
averages=output_in_averages,
scaling=True)
dt2['pitax_diff'] = dt2['pitax'] - dt1['pitax']
if (output_categories == 'standard_income_bins'):
dt1.rename_axis('Income_Bracket', inplace=True)
dt2.rename_axis('Income_Bracket', inplace=True)
else:
dt1.rename_axis('Decile', inplace=True)
dt2.rename_axis('Decile', inplace=True)
dt1 = dt1.reset_index().copy()
dt2 = dt2.reset_index().copy()
dt1 = dt1.fillna(0)
dt2 = dt2.fillna(0)
if output_in_averages:
print('************************* Average Tax Burden ', end=' ')
print(f'(in Rs.) per Taxpayer for {year} *******************')
pd.options.display.float_format = '{:,.0f}'.format
else:
print('*************** Distribution Tables for Total', end=' ')
print(f'Tax Collection (in Rs. crores) for {year} ***********')
pd.options.display.float_format = '{:,.3f}'.format
# list of columns for printing in rupees
col_list1 = list(dt1.columns)
col_list1.remove('Income_Bracket')
col_list1.remove('weight')
print('\n')
print(' *** CURRENT-LAW DISTRIBUTION TABLE ***')
# print('\n')
print(convert_df(dt1, col_list1))
print('\n')
print(' *** POLICY-REFORM DISTRIBUTION TABLE ***')
# print('\n')
col_list2 = col_list1
col_list2.append('pitax_diff')
print(convert_df(dt2, col_list2))
print('\n')
# print text version of each complete distribution table to a file
if output_in_averages:
filename = 'dist-table-all-clp-avg-'+str(year)+'.txt'
with open(filename, 'w') as dfile:
dt1.to_string(dfile)
filename = 'dist-table-all-ref-avg-'+str(year)+'.txt'
with open(filename, 'w') as dfile:
dt2.to_string(dfile)
# print text version of each partial distribution table to file
to_include = ['weight', 'GTI', 'TTI', 'pitax']
filename = 'dist-table-part-clp-avg-'+str(year)+'.txt'
with open(filename, 'w') as dfile:
dt1.to_string(dfile, columns=to_include)
filename = 'dist-table-part-ref-avg-'+str(year)+'.txt'
with open(filename, 'w') as dfile:
dt2.to_string(dfile, columns=to_include)
else:
filename = 'dist-table-all-clp-total-'+str(year)+'.txt'
with open(filename, 'w') as dfile:
dt1.to_string(dfile)
filename = 'dist-table-all-ref-total-'+str(year)+'.txt'
with open(filename, 'w') as dfile:
dt2.to_string(dfile)
# print text version of each partial distribution table to file
to_include = ['weight', 'GTI', 'TTI', 'pitax']
filename = 'dist-table-part-clp-total-'+str(year)+'.txt'
with open(filename, 'w') as dfile:
dt1.to_string(dfile, columns=to_include)
filename = 'dist-table-part-ref-total-'+str(year)+'.txt'
with open(filename, 'w') as dfile:
dt2.to_string(dfile, columns=to_include)
# Print the total taxes in the end
for year in range(BASE_YEAR, END_YEAR+1):
wtd_tax_clp_rs = ind_currency(wtd_tax_clp[year] * 1e-7)
wtd_tax_ref_rs = ind_currency(wtd_tax_ref[year] * 1e-7)
wtd_tax_diff_rs = ind_currency((wtd_tax_ref[year]-wtd_tax_clp[year])*1e-7)
print(f'**************** Total Tax Collection for {year}', end=' ')
print('****************')
# print('\n')
print(f'Current Law: Tax Collection in Rs. Cr. for {year}:', end=' ')
print(f'{ind_currency(wtd_tax_clp[year] * 1e-7)}')
print(f'Reform : Tax Collection in Rs. Cr. for {year}:', end=' ')
print(f'{ind_currency(wtd_tax_ref[year] * 1e-7)}')
print(' Difference in Tax Collection:', end=' ')
print(f'{ind_currency((wtd_tax_ref[year]-wtd_tax_clp[year]) * 1e-7)} Cr.')
print(f'Representing: {wtd_tot[year] * 1e-5:,.2f} Lakh taxpayers')
print('\n')