autoformat

This commit is contained in:
Fabian Neumann 2024-02-07 17:15:08 +01:00
parent f38681f134
commit d7f3f16a9b
2 changed files with 14 additions and 12 deletions

View File

@ -402,10 +402,9 @@ def add_heating_capacities_installed_before_baseyear(
""" """
logger.debug(f"Adding heating capacities installed before {baseyear}") logger.debug(f"Adding heating capacities installed before {baseyear}")
existing_heating = pd.read_csv(snakemake.input.existing_heating_distribution, existing_heating = pd.read_csv(
header=[0,1], snakemake.input.existing_heating_distribution, header=[0, 1], index_col=0
index_col=0) )
techs = existing_heating.columns.get_level_values(1).unique() techs = existing_heating.columns.get_level_values(1).unique()

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@ -24,9 +24,9 @@ def build_existing_heating():
# data is for buildings only (i.e. NOT district heating) and represents the year 2012 # data is for buildings only (i.e. NOT district heating) and represents the year 2012
# TODO start from original file # TODO start from original file
existing_heating = pd.read_csv(snakemake.input.existing_heating, existing_heating = pd.read_csv(
index_col=0, snakemake.input.existing_heating, index_col=0, header=0
header=0) )
# data for Albania, Montenegro and Macedonia not included in database # data for Albania, Montenegro and Macedonia not included in database
existing_heating.loc["Albania"] = np.nan existing_heating.loc["Albania"] = np.nan
@ -75,14 +75,17 @@ def build_existing_heating():
nodal_sectoral_totals.sum(axis=1), axis=0 nodal_sectoral_totals.sum(axis=1), axis=0
) )
nodal_heat_name_fraction = pd.DataFrame(index=district_heat_info.index, nodal_heat_name_fraction = pd.DataFrame(index=district_heat_info.index, dtype=float)
dtype=float)
nodal_heat_name_fraction["urban central"] = 0. nodal_heat_name_fraction["urban central"] = 0.0
for sector in sectors: for sector in sectors:
nodal_heat_name_fraction[f"{sector} rural"] = nodal_sectoral_fraction[sector]*(1 - urban_fraction) nodal_heat_name_fraction[f"{sector} rural"] = nodal_sectoral_fraction[
nodal_heat_name_fraction[f"{sector} urban decentral"] = nodal_sectoral_fraction[sector]*urban_fraction sector
] * (1 - urban_fraction)
nodal_heat_name_fraction[f"{sector} urban decentral"] = (
nodal_sectoral_fraction[sector] * urban_fraction
)
nodal_heat_name_tech = pd.concat( nodal_heat_name_tech = pd.concat(
{ {