address deprecation warnings
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@ -3,7 +3,11 @@
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import uuid
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import pandas as pd
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import geopandas as gpd
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from itertools import product
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from distutils.version import StrictVersion
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gpd_version = StrictVersion(gpd.__version__)
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def locate_missing_industrial_sites(df):
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@ -69,7 +73,8 @@ def prepare_hotmaps_database(regions):
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gdf = gpd.GeoDataFrame(df, geometry='coordinates', crs="EPSG:4326")
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gdf = gpd.sjoin(gdf, regions, how="inner", op='within')
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kws = dict(op="within") if gpd_version < '0.10' else dict(predicate="within")
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gdf = gpd.sjoin(gdf, regions, how="inner", **kws)
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gdf.rename(columns={"index_right": "bus"}, inplace=True)
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gdf["country"] = gdf.bus.str[:2]
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@ -8,7 +8,9 @@ import geopandas as gpd
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from shapely import wkt
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from pypsa.geo import haversine_pts
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from distutils.version import StrictVersion
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gpd_version = StrictVersion(gpd.__version__)
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def concat_gdf(gdf_list, crs='EPSG:4326'):
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"""Concatenate multiple geopandas dataframes with common coordinate reference system (crs)."""
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@ -32,12 +34,13 @@ def build_clustered_gas_network(df, bus_regions, length_factor=1.25):
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gdf = gpd.GeoDataFrame(geometry=df[f"point{i}"], crs="EPSG:4326")
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bus_mapping = gpd.sjoin(gdf, bus_regions, how="left", op="within").index_right
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kws = dict(op="within") if gpd_version < '0.10' else dict(predicate="within")
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bus_mapping = gpd.sjoin(gdf, bus_regions, how="left", **kws).index_right
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bus_mapping = bus_mapping.groupby(bus_mapping.index).first()
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df[f"bus{i}"] = bus_mapping
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df[f"point{i}"] = df[f"bus{i}"].map(bus_regions.centroid)
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df[f"point{i}"] = df[f"bus{i}"].map(bus_regions.to_crs(3035).centroid.to_crs(4326))
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# drop pipes where not both buses are inside regions
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df = df.loc[~df.bus0.isna() & ~df.bus1.isna()]
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@ -543,17 +543,6 @@ def average_every_nhours(n, offset):
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logger.info(f'Resampling the network to {offset}')
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m = n.copy(with_time=False)
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# TODO is this still needed?
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#fix copying of network attributes
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#copied from pypsa/io.py, should be in pypsa/components.py#Network.copy()
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allowed_types = (float, int, bool, str) + tuple(np.typeDict.values())
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attrs = dict((attr, getattr(n, attr))
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for attr in dir(n)
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if (not attr.startswith("__") and
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isinstance(getattr(n,attr), allowed_types)))
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for k,v in attrs.items():
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setattr(m,k,v)
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snapshot_weightings = n.snapshot_weightings.resample(offset).sum()
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m.set_snapshots(snapshot_weightings.index)
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m.snapshot_weightings = snapshot_weightings
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