def households_transition(households, household_controls, year, settings):
s = orca.get_table('households').base_income_quartile.value_counts()
print "Distribution by income before:\n", (s / s.sum())
ret = utils.full_transition(households, household_controls, year,
settings['households_transition'],
"building_id")
s = orca.get_table('households').base_income_quartile.value_counts()
print "Distribution by income after:\n", (s / s.sum())
return ret
def jobs_transition(jobs, employment_controls, year, settings):
orig_size = jobs.local.shape[0]
res = utils.full_transition(jobs,
employment_controls,
year,
settings['jobs_transition'],
"building_id")
print "Net change: %s jobs" % (orca.get_table("jobs").local.shape[0]-
orig_size)
return res
def households_transition(households, household_controls, year, settings):
s = orca.get_table('households').base_income_quartile.value_counts()
print "Distribution by income before:\n", (s/s.sum())
ret = utils.full_transition(households,
household_controls,
year,
settings['households_transition'],
"building_id")
s = orca.get_table('households').base_income_quartile.value_counts()
print "Distribution by income after:\n", (s/s.sum())
return ret
def households_transition(households, household_controls,
year, settings, persons):
orig_size_hh = households.local.shape[0]
orig_size_pers = persons.local.shape[0]
orig_pers_index = persons.index
orig_hh_index = households.index
res = utils.full_transition(households, household_controls, year,
settings['households_transition'],
"building_id",
linked_tables={"persons":
(persons.local,
'household_id')})
print "Net change: %s households" % (orca.get_table("households").
local.shape[0] - orig_size_hh)
print "Net change: %s persons" % (orca.get_table("persons").
local.shape[0] - orig_size_pers)
# changes to households/persons table are not reflected in local scope
# need to reset vars to get changes.
households = orca.get_table('households')
persons = orca.get_table("persons")
# need to make some updates to the persons & households table
households.update_col_from_series("is_inmigrant",
pd.Series(np.where
(~households.index.isin
(orig_hh_index), 1, 0),
index=households.index),
cast=True)
# new workers dont have jobs yet, set job_id to -1
persons.update_col_from_series("job_id",
pd.Series(np.where(~persons.index.isin
(orig_pers_index), -1,
persons.job_id),
index=persons.index), cast=True)
# dont know their work at home status yet, set to 0:
persons.update_col_from_series("work_at_home",
pd.Series(np.where
(~persons.index.isin
(orig_pers_index), 0,
persons.work_at_home),
index=persons.index), cast=True)
# set non-worker job_id to -2
persons.update_col_from_series("job_id",
pd.Series(np.where
(persons.employment_status > 0,
persons.job_id, -2),
index=persons.index), cast=True)
orca.clear_cache()
return res
def households_transition(
households, household_controls, year, settings, persons):
orig_size_hh = households.local.shape[0]
orig_size_pers = persons.local.shape[0]
s = orca.get_table('households').base_income_quartile.value_counts()
print "Distribution by income before:\n", (s / s.sum())
ret = utils.full_transition(households,
household_controls,
year,
settings['households_transition'],
"building_id",
linked_tables={"persons":
(persons.local,
'household_id')})
s = orca.get_table('households').base_income_quartile.value_counts()
print "Distribution by income after:\n", (s / s.sum())
print "Net change: %s households" % (
households.local.shape[0] - orig_size_hh)
print "Net change: %s persons" % (
persons.local.shape[0] - orig_size_pers)
return ret
def jobs_transition(jobs, employment_controls, year, settings):
return utils.full_transition(jobs, employment_controls, year,
settings['jobs_transition'], "building_id")
def households_transition(households, household_controls, year, settings):
return utils.full_transition(households, household_controls, year,
settings['households_transition'],
"building_id")
def jobs_transition(jobs, employment_controls, year, settings):
return utils.full_transition(jobs,
employment_controls,
year,
settings['jobs_transition'],
"building_id")
def households_transition(households, household_controls, year, settings):
return utils.full_transition(households,
household_controls,
year,
settings['households_transition'],
"building_id")
