def feasibility(parcels, settings,
parcel_sales_price_sqft_func,
parcel_is_allowed_func):
kwargs = settings['feasibility']
utils.run_feasibility(parcels,
parcel_sales_price_sqft_func,
parcel_is_allowed_func,
**kwargs)
def subsidized_residential_feasibility(
parcels, settings,
add_extra_columns_func, parcel_sales_price_sqft_func,
parcel_is_allowed_func, parcels_geography):
kwargs = settings['feasibility'].copy()
kwargs["only_built"] = False
kwargs["forms_to_test"] = ["residential"]
config = sqftproforma.SqFtProFormaConfig()
# use the cap rate from settings.yaml
config.cap_rate = settings["cap_rate"]
# step 1
run_feasibility(
parcels,
parcel_sales_price_sqft_func,
parcel_is_allowed_func,
config=config,
**kwargs)
feasibility = orca.get_table("feasibility").to_frame()
# get rid of the multiindex that comes back from feasibility
feasibility = feasibility.stack(level=0).reset_index(level=1, drop=True)
# join to parcels_geography for filtering
feasibility = feasibility.join(parcels_geography.to_frame())
# add the multiindex back
feasibility.columns = pd.MultiIndex.from_tuples(
[("residential", col) for col in feasibility.columns])
feasibility = policy_modifications_of_profit(feasibility, parcels)
orca.add_table("feasibility", feasibility)
df = orca.get_table("feasibility").to_frame()
df = df.stack(level=0).reset_index(level=1, drop=True)
def alt_feasibility(parcels, settings,
parcel_sales_price_sqft_func,
parcel_is_allowed_func):
kwargs = settings['feasibility']
config = sqftproforma.SqFtProFormaConfig()
config.parking_rates["office"] = 1.5
config.parking_rates["retail"] = 1.5
config.building_efficiency = .85
config.parcel_coverage = .85
# use the cap rate from settings.yaml
config.cap_rate = settings["cap_rate"]
run_feasibility(
parcels,
parcel_sales_price_sqft_func,
parcel_is_allowed_func,
config=config,
**kwargs)
f = subsidies.policy_modifications_of_profit(
orca.get_table('feasibility').to_frame(),
parcels)
orca.add_table("feasibility", f)
def feasibility(parcels):
utils.run_feasibility(parcels,
variables.parcel_average_price,
variables.parcel_is_allowed,
residential_to_yearly=True)
def feasibility(parcels):
utils.run_feasibility(parcels)
def feasibility(parcels, settings, parcel_sales_price_sqft_func,
parcel_is_allowed_func):
kwargs = settings['feasibility']
utils.run_feasibility(parcels, parcel_sales_price_sqft_func,
parcel_is_allowed_func, **kwargs)
def feasibility(parcels):
utils.run_feasibility(
parcels, variables.parcel_average_price, variables.parcel_is_allowed, residential_to_yearly=True
)