regions to n.shapes: smooth out remaining issues
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9686407756
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@ -705,7 +705,7 @@ def _set_shapes(n, country_shapes, offshore_shapes):
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offshore_shapes = gpd.read_file(offshore_shapes).rename(columns={"name": "idx"})
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offshore_shapes = gpd.read_file(offshore_shapes).rename(columns={"name": "idx"})
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offshore_shapes["type"] = "offshore"
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offshore_shapes["type"] = "offshore"
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all_shapes = pd.concat([country_shapes, offshore_shapes])
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all_shapes = pd.concat([country_shapes, offshore_shapes])
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n.shapes = pd.concat([n.shapes, all_shapes])
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n.shapes = pd.concat([n.shapes, all_shapes], ignore_index=True)
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def base_network(
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def base_network(
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@ -176,7 +176,8 @@ if __name__ == "__main__":
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gdf = pd.concat(onshore_regions, ignore_index=True)
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gdf = pd.concat(onshore_regions, ignore_index=True)
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gdf.to_file(snakemake.output.regions_onshore)
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gdf.to_file(snakemake.output.regions_onshore)
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index = gdf.index.astype(int) + n.shapes.index.astype(int).max() + 1
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offset = n.shapes.index.astype(int).max() + 1 if not n.shapes.empty else 0
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index = gdf.index.astype(int) + offset
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n.madd(
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n.madd(
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"Shape",
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"Shape",
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index,
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index,
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@ -185,11 +186,13 @@ if __name__ == "__main__":
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component="Bus",
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component="Bus",
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type="onshore",
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type="onshore",
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)
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)
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if offshore_regions:
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if offshore_regions:
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gdf = pd.concat(offshore_regions, ignore_index=True)
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gdf = pd.concat(offshore_regions, ignore_index=True)
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gdf.to_file(snakemake.output.regions_offshore)
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gdf.to_file(snakemake.output.regions_offshore)
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index = gdf.index.astype(int) + n.shapes.index.astype(int).max() + 1
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offset = n.shapes.index.astype(int).max() + 1 if not n.shapes.empty else 0
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index = gdf.index.astype(int) + offset
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n.madd(
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n.madd(
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"Shape",
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"Shape",
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index,
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index,
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@ -443,7 +443,8 @@ def cluster_regions(busmaps, which, input=None, output=None):
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n.mremove("Shape", remove)
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n.mremove("Shape", remove)
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# add new clustered regions
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# add new clustered regions
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index = regions_c.index.astype(int) + n.shapes.index.astype(int).max() + 1
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offset = n.shapes.index.astype(int).max() + 1 if not n.shapes.empty else 0
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index = regions_c.index.astype(int) + offset
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type = which.split("_")[1]
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type = which.split("_")[1]
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n.madd(
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n.madd(
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"Shape",
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"Shape",
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@ -629,4 +629,5 @@ if __name__ == "__main__":
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busmap_s = reduce(lambda x, y: x.map(y), busmaps[1:], busmaps[0])
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busmap_s = reduce(lambda x, y: x.map(y), busmaps[1:], busmaps[0])
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busmap_s.to_csv(snakemake.output.busmap)
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busmap_s.to_csv(snakemake.output.busmap)
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cluster_regions(busmaps, snakemake.input, snakemake.output)
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for which in ["regions_onshore", "regions_offshore"]:
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cluster_regions(busmaps, which, snakemake.input, snakemake.output)
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