def test():
# inflators_by_year = get_inflators_by_year()
# Liste des coicop agrégées en 12 postes
simulated_variables = ['coicop12_{}'.format(coicop12_index) for coicop12_index in range(1, 13)]
year = 2011
elasticities = get_elasticities(year)
inflation_kwargs = None # dict(inflator_by_variable = inflators_by_year[year])
survey_scenario = SurveyScenario.create(
elasticities = elasticities,
inflation_kwargs = inflation_kwargs,
year = year,
)
coicop12_1 = survey_scenario.simulation.calculate('coicop12_1')
elasticite_1 = survey_scenario.simulation.calculate('elas_exp_1')
print elasticite_1
pivot_table = pandas.DataFrame()
for values in simulated_variables:
pivot_table = pandas.concat([
pivot_table,
survey_scenario.compute_pivot_table(values = [values], columns = ['niveau_vie_decile'])
])
df = pivot_table.T
df['depenses_tot'] = df[['coicop12_{}'.format(i) for i in range(1, 13)]].sum(axis = 1)
for i in range(1, 13):
df['part_coicop12_{}'.format(i)] = \
df['coicop12_{}'.format(i)] / df['depenses_tot']
graph_builder_bar(df[['part_coicop12_{}'.format(i) for i in range(1, 13)]])
return toto
def test():
# inflators_by_year = get_inflators_by_year()
# Liste des coicop agrégées en 12 postes
simulated_variables = [
'coicop12_{}'.format(coicop12_index)
for coicop12_index in range(1, 13)
]
year = 2011
elasticities = get_elasticities(year)
inflation_kwargs = None # dict(inflator_by_variable = inflators_by_year[year])
survey_scenario = SurveyScenario.create(
elasticities=elasticities,
inflation_kwargs=inflation_kwargs,
year=year,
)
coicop12_1 = survey_scenario.simulation.calculate('coicop12_1')
elasticite_1 = survey_scenario.simulation.calculate('elas_exp_1')
print elasticite_1
pivot_table = pandas.DataFrame()
for values in simulated_variables:
pivot_table = pandas.concat([
pivot_table,
survey_scenario.compute_pivot_table(values=[values],
columns=['niveau_vie_decile'])
])
df = pivot_table.T
df['depenses_tot'] = df[['coicop12_{}'.format(i)
for i in range(1, 13)]].sum(axis=1)
for i in range(1, 13):
df['part_coicop12_{}'.format(i)] = \
df['coicop12_{}'.format(i)] / df['depenses_tot']
graph_builder_bar(df[['part_coicop12_{}'.format(i) for i in range(1, 13)]])
return toto
from openfisca_france_indirect_taxation.examples.calage_bdf_cn_bis import get_inflators_by_year
from openfisca_france_indirect_taxation.almost_ideal_demand_system.aids_estimation_from_stata import get_elasticities
# Import d'une nouvelle palette de couleurs
seaborn.set_palette(seaborn.color_palette("Set2", 12))
if __name__ == '__main__':
inflators_by_year = get_inflators_by_year()
# Liste des coicop agrégées en 12 postes
simulated_variables = ['coicop12_{}'.format(coicop12_index) for coicop12_index in range(1, 13)]
year = 2011
elasticities = get_elasticities(year)
inflation_kwargs = dict(inflator_by_variable = inflators_by_year[year])
survey_scenario = SurveyScenario.create(
elasticities = elasticities,
inflation_kwargs = inflation_kwargs,
year = year,
)
coicop12_1 = survey_scenario.simulation.calculate('coicop12_1')
elasticite_1 = survey_scenario.simulation.calculate('elas_exp_1')
# boum
pivot_table = pandas.DataFrame()
for values in simulated_variables:
pivot_table = pandas.concat([
pivot_table,
from openfisca_france_indirect_taxation.almost_ideal_demand_system.aids_estimation_from_stata import get_elasticities
# Import d'une nouvelle palette de couleurs
seaborn.set_palette(seaborn.color_palette("Set2", 12))
if __name__ == '__main__':
inflators_by_year = get_inflators_by_year()
# Liste des coicop agrégées en 12 postes
simulated_variables = [
'coicop12_{}'.format(coicop12_index)
for coicop12_index in range(1, 13)
]
year = 2011
elasticities = get_elasticities(year)
inflation_kwargs = dict(inflator_by_variable=inflators_by_year[year])
survey_scenario = SurveyScenario.create(
elasticities=elasticities,
inflation_kwargs=inflation_kwargs,
year=year,
)
coicop12_1 = survey_scenario.simulation.calculate('coicop12_1')
elasticite_1 = survey_scenario.simulation.calculate('elas_exp_1')
# boum
pivot_table = pandas.DataFrame()
for values in simulated_variables:
pivot_table = pandas.concat([
pivot_table,
