Sentence capitalized

scripts/add_brownfield.py

@@ -16,7 +16,7 @@ from helper import override_component_attrs, update_config_with_sector_opts
 
 def add_brownfield(n, n_p, year):
 
-    logger.info(f"preparing brownfield for the year {year}")
+    logger.info(f"Preparing brownfield for the year {year}")
 
     # electric transmission grid set optimised capacities of previous as minimum
     n.lines.s_nom_min = n_p.lines.s_nom_opt
@@ -126,7 +126,7 @@ if __name__ == "__main__":
     
     update_config_with_sector_opts(snakemake.config, snakemake.wildcards.sector_opts)
 
-    logger.info(f"preparing brownfield from the file {snakemake.input.network_p}")
+    logger.info(f"Preparing brownfield from the file {snakemake.input.network_p}")
 
     year = int(snakemake.wildcards.planning_horizons)
 

scripts/add_existing_baseyear.py

@@ -120,7 +120,7 @@ def add_power_capacities_installed_before_baseyear(n, grouping_years, costs, bas
         to read lifetime to estimate YearDecomissioning
     baseyear : int
     """
-    logger.debug(f"adding power capacities installed before {baseyear} from powerplants.csv")
+    logger.debug(f"Adding power capacities installed before {baseyear} from powerplants.csv")
 
     df_agg = pd.read_csv(snakemake.input.powerplants, index_col=0)
 
@@ -352,7 +352,7 @@ def add_heating_capacities_installed_before_baseyear(n, baseyear, grouping_years
         services proportional to heating load in both 50% capacities
         in rural busess 50% in urban buses
     """
-    logger.debug(f"adding heating capacities installed before {baseyear}")
+    logger.debug(f"Adding heating capacities installed before {baseyear}")
 
     # Add existing heating capacities, data comes from the study
     # "Mapping and analyses of the current and future (2020 - 2030)

scripts/make_summary.py

@@ -540,7 +540,7 @@ def make_summaries(networks_dict):
         df[output] = pd.DataFrame(columns=columns, dtype=float)
 
     for label, filename in networks_dict.items():
-        logger.info(f"make summary for scenario {label}, using {filename}")
+        logger.info(f"Make summary for scenario {label}, using {filename}")
 
         overrides = override_component_attrs(snakemake.input.overrides)
         n = pypsa.Network(filename, override_component_attrs=overrides)

scripts/plot_network.py

@@ -105,7 +105,7 @@ def plot_map(network, components=["links", "stores", "storage_units", "generator
     # drop non-bus
     to_drop = costs.index.levels[0].symmetric_difference(n.buses.index)
     if len(to_drop) != 0:
-        logger.info(f"dropping non-buses {to_drop.tolist()}")
+        logger.info(f"Dropping non-buses {to_drop.tolist()}")
         costs.drop(to_drop, level=0, inplace=True, axis=0, errors="ignore")
 
     # make sure they are removed from index
@@ -754,7 +754,7 @@ def plot_series(network, carrier="AC", name="test"):
     to_drop = supply.columns[(abs(supply) < threshold).all()]
 
     if len(to_drop) != 0:
-        logger.info(f"dropping {to_drop.tolist()} from supply")
+        logger.info(f"Dropping {to_drop.tolist()} from supply")
         supply.drop(columns=to_drop, inplace=True)
 
     supply.index.name = None

scripts/plot_summary.py

@@ -136,7 +136,7 @@ def plot_costs():
 
     to_drop = df.index[df.max(axis=1) < snakemake.config['plotting']['costs_threshold']]
 
-    logger.info(f"dropping technology with costs below {snakemake.config['plotting']['costs_threshold']} EUR billion per year")
+    logger.info(f"Dropping technology with costs below {snakemake.config['plotting']['costs_threshold']} EUR billion per year")
     logger.debug(df.loc[to_drop])
 
     df = df.drop(to_drop)
@@ -191,7 +191,7 @@ def plot_energy():
 
     to_drop = df.index[df.abs().max(axis=1) < snakemake.config['plotting']['energy_threshold']]
 
-    logger.info(f"dropping all technology with energy consumption or production below {snakemake.config['plotting']['energy_threshold']} TWh/a")
+    logger.info(f"Dropping all technology with energy consumption or production below {snakemake.config['plotting']['energy_threshold']} TWh/a")
     logger.debug(df.loc[to_drop])
 
     df = df.drop(to_drop)
@@ -265,7 +265,7 @@ def plot_balances():
         else:
             units = "TWh/a"
 
-        logger.info(f"dropping technology energy balance smaller than {snakemake.config['plotting']['energy_threshold']/10} {units}")
+        logger.info(f"Dropping technology energy balance smaller than {snakemake.config['plotting']['energy_threshold']/10} {units}")
         logger.debug(df.loc[to_drop])
 
         df = df.drop(to_drop)

scripts/prepare_sector_network.py

@@ -706,7 +706,7 @@ def prepare_costs(cost_file, USD_to_EUR, discount_rate, Nyears, lifetime):
 
 def add_generation(n, costs):
 
-    logger.info("adding electricity generation")
+    logger.info("Adding electricity generation")
 
     nodes = pop_layout.index
 
@@ -737,7 +737,7 @@ def add_generation(n, costs):
 
 def add_ammonia(n, costs):
 
-    logger.info("adding ammonia carrier with synthesis, cracking and storage")
+    logger.info("Adding ammonia carrier with synthesis, cracking and storage")
 
     nodes = pop_layout.index
 
@@ -1495,7 +1495,7 @@ def add_heat(n, costs):
     # exogenously reduce space heat demand
     if options["reduce_space_heat_exogenously"]:
         dE = get(options["reduce_space_heat_exogenously_factor"], investment_year)
-        logger.info(f"assumed space heat reduction of {dE:.2%}")
+        logger.info(f"Assumed space heat reduction of {dE:.2%}")
         for sector in sectors:
             heat_demand[sector + " space"] = (1 - dE) * heat_demand[sector + " space"]
 
@@ -2647,7 +2647,7 @@ def maybe_adjust_costs_and_potentials(n, opts):
 
 # TODO this should rather be a config no wildcard
 def limit_individual_line_extension(n, maxext):
-    logger.info(f"limiting new HVAC and HVDC extensions to {maxext} MW")
+    logger.info(f"Limiting new HVAC and HVDC extensions to {maxext} MW")
     n.lines['s_nom_max'] = n.lines['s_nom'] + maxext
     hvdc = n.links.index[n.links.carrier == 'DC']
     n.links.loc[hvdc, 'p_nom_max'] = n.links.loc[hvdc, 'p_nom'] + maxext
@@ -2814,7 +2814,7 @@ def set_temporal_aggregation(n, opts, solver_name):
         m = re.match(r"(^\d+)sn$", o, re.IGNORECASE)
         if m is not None:
             sn = int(m[1])
-            logger.info(f"use every {sn} snapshot as representative")
+            logger.info(f"Use every {sn} snapshot as representative")
             n.set_snapshots(n.snapshots[::sn])
             n.snapshot_weightings *= sn
             break
@@ -2822,7 +2822,7 @@ def set_temporal_aggregation(n, opts, solver_name):
         m = re.match(r"^(\d+)seg$", o, re.IGNORECASE)
         if m is not None:
             segments = int(m[1])
-            logger.info(f"use temporal segmentation with {segments} segments")
+            logger.info(f"Use temporal segmentation with {segments} segments")
             n = apply_time_segmentation(n, segments, solver_name=solver_name)
             break
     return n