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

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

scripts/build_district_heat_share.py

@@ -73,8 +73,9 @@
     pop_layout["urban_ct_fraction"] = pop_layout.urban / pop_layout.ct.map(ct_urban.get)
 
     # fraction of node that is urban
-    urban_fraction = (pop_layout.urban / pop_layout[["rural", "urban"]].sum(axis=1)).fillna(0)
-
+    urban_fraction = (
+        pop_layout.urban / pop_layout[["rural", "urban"]].sum(axis=1)
+    ).fillna(0)
 
     # maximum potential of urban demand covered by district heating
     central_fraction = snakemake.config["sector"]["district_heating"]["potential"]

scripts/build_energy_totals.py

@@ -1405,10 +1405,14 @@ def update_residential_from_eurostat(energy: pd.DataFrame) -> pd.DataFrame:
         idees = build_idees(idees_countries)
     else:
         # e.g. UA and MD
-        logger.info(f"No IDEES data available for {countries} and years 2000-2015. Filling with zeros.")
+        logger.info(
+            f"No IDEES data available for {countries} and years 2000-2015. Filling with zeros."
+        )
         years = range(2000, 2016)
         idees = pd.DataFrame(
-            index=pd.MultiIndex.from_tuples([(country, year) for country in countries for year in years]),
+            index=pd.MultiIndex.from_tuples(
+                [(country, year) for country in countries for year in years]
+            ),
             columns=[
                 "passenger cars",
                 "passenger car efficiency",
@@ -1433,7 +1437,7 @@ def update_residential_from_eurostat(energy: pd.DataFrame) -> pd.DataFrame:
                 "thermal uses residential",
                 "thermal uses services",
             ],
-            data=0
+            data=0,
         )
 
     energy = build_energy_totals(countries, eurostat, swiss, idees)

scripts/build_industrial_energy_demand_per_country_today.py

@@ -64,8 +64,8 @@
 from functools import partial
 
 import country_converter as coco
-import pandas as pd
 import numpy as np
+import pandas as pd
 from _helpers import set_scenario_config
 from tqdm import tqdm
 
@@ -197,7 +197,9 @@ def add_non_eu28_industrial_energy_demand(countries, demand, production):
 
     eu28_production = production.loc[countries.intersection(eu28)].sum()
     if eu28_production.sum() == 0:
-        logger.info("EU production is zero. Fallback: Filling non EU28 countries with zeros.")
+        logger.info(
+            "EU production is zero. Fallback: Filling non EU28 countries with zeros."
+        )
     eu28_energy = demand.groupby(level=1).sum()
     eu28_averages = eu28_energy / eu28_production
 

scripts/build_industrial_energy_demand_per_node_today.py

@@ -80,7 +80,7 @@ def build_nodal_industrial_energy_demand():
             )
             keys[mapping] = 0
             key = keys.loc[buses, mapping].fillna(0)
-            
+
         demand = industrial_demand[country, sector]
 
         outer = pd.DataFrame(