Merge branch 'master' into fix/deprecation-warning-pandas-1.4

.pre-commit-config.yaml

@@ -17,7 +17,7 @@ repos:
 
   # Sort package imports alphabetically
 - repo: https://github.com/PyCQA/isort
-  rev: 5.11.4
+  rev: 5.12.0
   hooks:
   - id: isort
     args: ["--profile", "black", "--filter-files"]
@@ -51,7 +51,7 @@ repos:
 
   # Formatting with "black" coding style
 - repo: https://github.com/psf/black
-  rev: 22.12.0
+  rev: 23.1.0
   hooks:
       # Format Python files
   - id: black
@@ -74,7 +74,7 @@ repos:
 
   # Format Snakemake rule / workflow files
 - repo: https://github.com/snakemake/snakefmt
-  rev: v0.8.0
+  rev: v0.8.1
   hooks:
   - id: snakefmt
 

scripts/add_electricity.py

@@ -394,12 +394,10 @@ def attach_conventional_generators(
     )
 
     for carrier in conventional_config:
-
         # Generators with technology affected
         idx = n.generators.query("carrier == @carrier").index
 
         for attr in list(set(conventional_config[carrier]) & set(n.generators)):
-
             values = conventional_config[carrier][attr]
 
             if f"conventional_{carrier}_{attr}" in conventional_inputs:
@@ -498,7 +496,7 @@ def attach_hydro(n, costs, ppl, profile_hydro, hydro_capacities, carriers, **con
         e_target = hydro_stats["E_store[TWh]"].clip(lower=0.2) * 1e6
         e_installed = hydro.eval("p_nom * max_hours").groupby(hydro.country).sum()
         e_missing = e_target - e_installed
-        missing_mh_i = hydro.query("max_hours == 0").index
+        missing_mh_i = hydro.query("max_hours.isnull()").index
 
         if hydro_max_hours == "energy_capacity_totals_by_country":
             # watch out some p_nom values like IE's are totally underrepresented
@@ -511,6 +509,8 @@ def attach_hydro(n, costs, ppl, profile_hydro, hydro_capacities, carriers, **con
                 hydro_stats["E_store[TWh]"] * 1e3 / hydro_stats["p_nom_discharge[GW]"]
             )
 
+        max_hours_country.clip(0, inplace=True)
+
         missing_countries = pd.Index(hydro["country"].unique()).difference(
             max_hours_country.dropna().index
         )

scripts/base_network.py

@@ -694,7 +694,6 @@ def base_network(
     parameter_corrections,
     config,
 ):
-
     buses = _load_buses_from_eg(eg_buses, europe_shape, config["electricity"])
 
     links = _load_links_from_eg(buses, eg_links)

scripts/build_load_data.py

@@ -268,7 +268,6 @@ def manual_adjustment(load, fn_load, powerstatistics):
 
 
 if __name__ == "__main__":
-
     if "snakemake" not in globals():
         from _helpers import mock_snakemake
 

scripts/build_shapes.py

@@ -80,7 +80,6 @@ import pandas as pd
 import pycountry as pyc
 from _helpers import configure_logging
 from shapely.geometry import MultiPolygon, Polygon
-from shapely.ops import unary_union
 
 logger = logging.getLogger(__name__)
 
@@ -158,8 +157,7 @@ def country_cover(country_shapes, eez_shapes=None):
     shapes = country_shapes
     if eez_shapes is not None:
         shapes = pd.concat([shapes, eez_shapes])
-
+    europe_shape = shapes.unary_union
-    europe_shape = unary_union(shapes)
     if isinstance(europe_shape, MultiPolygon):
         europe_shape = max(europe_shape, key=attrgetter("area"))
     return Polygon(shell=europe_shape.exterior)

scripts/cluster_network.py

@@ -238,7 +238,6 @@ def distribute_clusters(n, n_clusters, focus_weights=None, solver_name="cbc"):
     ), f"Number of clusters must be {len(N)} <= n_clusters <= {N.sum()} for this selection of countries."
 
     if focus_weights is not None:
-
         total_focus = sum(list(focus_weights.values()))
 
         assert (
@@ -396,7 +395,6 @@ def clustering_for_n_clusters(
     extended_link_costs=0,
     focus_weights=None,
 ):
-
     bus_strategies, generator_strategies = get_aggregation_strategies(
         aggregation_strategies
     )

scripts/make_summary.py

@@ -164,7 +164,6 @@ def calculate_curtailment(n, label, curtailment):
 
 def calculate_energy(n, label, energy):
     for c in n.iterate_components(n.one_port_components | n.branch_components):
-
         if c.name in {"Generator", "Load", "ShuntImpedance"}:
             c_energies = (
                 c.pnl.p.multiply(n.snapshot_weightings.generators, axis=0)
@@ -238,7 +237,6 @@ def calculate_supply(n, label, supply):
     load_types = n.buses.carrier.unique()
 
     for i in load_types:
-
         buses = n.buses.query("carrier == @i").index
 
         bus_map = pd.Series(False, index=n.buses.index)
@@ -246,7 +244,6 @@ def calculate_supply(n, label, supply):
         bus_map.loc[buses] = True
 
         for c in n.iterate_components(n.one_port_components):
-
             items = c.df.index[c.df.bus.map(bus_map)]
 
             if len(items) == 0 or c.pnl.p.empty:
@@ -267,9 +264,7 @@ def calculate_supply(n, label, supply):
             supply.loc[idx[raw_index], label] = s.values
 
         for c in n.iterate_components(n.branch_components):
-
             for end in ["0", "1"]:
-
                 items = c.df.index[c.df["bus" + end].map(bus_map)]
 
                 if len(items) == 0 or c.pnl["p" + end].empty:
@@ -298,7 +293,6 @@ def calculate_supply_energy(n, label, supply_energy):
     load_types = n.buses.carrier.unique()
 
     for i in load_types:
-
         buses = n.buses.query("carrier == @i").index
 
         bus_map = pd.Series(False, index=n.buses.index)
@@ -306,7 +300,6 @@ def calculate_supply_energy(n, label, supply_energy):
         bus_map.loc[buses] = True
 
         for c in n.iterate_components(n.one_port_components):
-
             items = c.df.index[c.df.bus.map(bus_map)]
 
             if len(items) == 0 or c.pnl.p.empty:
@@ -327,9 +320,7 @@ def calculate_supply_energy(n, label, supply_energy):
             supply_energy.loc[idx[raw_index], label] = s.values
 
         for c in n.iterate_components(n.branch_components):
-
             for end in ["0", "1"]:
-
                 items = c.df.index[c.df["bus" + end].map(bus_map)]
 
                 if len(items) == 0 or c.pnl["p" + end].empty:
@@ -431,7 +422,6 @@ def calculate_weighted_prices(n, label, weighted_prices):
     }
 
     for carrier in link_loads:
-
         if carrier == "electricity":
             suffix = ""
         elif carrier[:5] == "space":
@@ -454,7 +444,6 @@ def calculate_weighted_prices(n, label, weighted_prices):
             load = n.loads_t.p_set[buses]
 
         for tech in link_loads[carrier]:
-
             names = n.links.index[n.links.index.to_series().str[-len(tech) :] == tech]
 
             if names.empty:

scripts/simplify_network.py

@@ -324,7 +324,6 @@ def simplify_links(n, costs, config, output, aggregation_strategies=dict()):
     )
 
     for lbl in labels.value_counts().loc[lambda s: s > 2].index:
-
         for b, buses, links in split_links(labels.index[labels == lbl]):
             if len(buses) <= 2:
                 continue