[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

data/AL_production.csv

@@ -31,4 +31,4 @@ GR,184,2019,https://en.wikipedia.org/wiki/List_of_countries_by_aluminium_product
 SE,126,2019,https://en.wikipedia.org/wiki/List_of_countries_by_aluminium_production
 VE,108,2019,https://en.wikipedia.org/wiki/List_of_countries_by_aluminium_production
 NG,0,2019
-BJ,0,2019
+BJ,0,2019

scripts/build_base_energy_totals.py

@@ -263,7 +263,7 @@ def calc_sector(sector):
 
     # Get the files from the path provided in the OP
     all_files = list(Path("data/demand/unsd/data").glob("*.txt"))
-    
+
     # Create a dataframe from all downloaded files
     df = pd.concat(
         (pd.read_csv(f, encoding="utf8", sep=";") for f in all_files), ignore_index=True

scripts/build_base_industry_totals.py

@@ -26,7 +26,8 @@ def create_industry_base_totals(df):
     # Converting values of mass (ktons) to energy (TWh)
     index_mass = df.loc[df["Unit"] == "Metric tons,  thousand"].index
     df.loc[index_mass, "Quantity_TWh"] = df.loc[index_mass].apply(
-        lambda x: x["Quantity"] * fuels_conv_toTWh.get(x["Commodity"], "not found"), axis=1
+        lambda x: x["Quantity"] * fuels_conv_toTWh.get(x["Commodity"], "not found"),
+        axis=1,
     )
 
     # Converting values of energy (GWh) to energy (TWh)
@@ -156,7 +157,7 @@ def create_industry_base_totals(df):
 
     # Get the files from the path provided in the OP
     all_files = list(Path(snakemake.input["unsd_path"]).glob("*.txt"))
-    
+
     # Create a dataframe from all downloaded files
     df = pd.concat(
         (pd.read_csv(f, encoding="utf8", sep=";") for f in all_files), ignore_index=True

scripts/build_industry_demand.py

@@ -220,26 +220,34 @@ def match_technology(df):
             pass  # Code to handle the KeyError
     industry_base_totals = industry_base_totals.sort_index()
 
-    all_carriers = ["electricity", "gas", "coal", "oil", "hydrogen", "biomass", "low-temperature heat"]
+    all_carriers = [
+        "electricity",
+        "gas",
+        "coal",
+        "oil",
+        "hydrogen",
+        "biomass",
+        "low-temperature heat",
+    ]
 
     for country in countries:
-        carriers_present = industry_base_totals.xs(country, level='country').index
+        carriers_present = industry_base_totals.xs(country, level="country").index
         missing_carriers = set(all_carriers) - set(carriers_present)
         for carrier in missing_carriers:
             # Add the missing carrier with a value of 0
             industry_base_totals.loc[(country, carrier), :] = 0
 
-
     nodal_df = pd.DataFrame()
 
     for country in countries:
-        nodal_production_tom_co = nodal_production_tom[nodal_production_tom.index.to_series().str.startswith(country)]
+        nodal_production_tom_co = nodal_production_tom[
+            nodal_production_tom.index.to_series().str.startswith(country)
+        ]
         industry_base_totals_co = industry_base_totals.loc[country]
         # final energy consumption per node and industry (TWh/a)
         nodal_df_co = nodal_production_tom_co.dot(industry_base_totals_co.T)
         nodal_df = pd.concat([nodal_df, nodal_df_co])
 
-
     rename_sectors = {
         "elec": "electricity",
         "biomass": "solid biomass",

scripts/prepare_sector_network.py

@@ -2428,9 +2428,11 @@ def add_rail_transport(n, costs):
     # TODO follow the same structure as land transport and heat
 
     # Load industry demand data
-    industrial_demand = pd.read_csv(snakemake.input.industrial_demand, index_col=0, header=0)  # * 1e6
+    industrial_demand = pd.read_csv(
+        snakemake.input.industrial_demand, index_col=0, header=0
+    )  # * 1e6
 
-    #industrial_demand.set_index("TWh/a (MtCO2/a)", inplace=True)
+    # industrial_demand.set_index("TWh/a (MtCO2/a)", inplace=True)
 
     ##########################################################################
     ############## Functions adding different carrires and sectors ###########