switch to matplotlib and add bundesland borders
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52
main.py
52
main.py
@ -1,11 +1,9 @@
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import argparse
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import json
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import cartopy.crs as ccrs
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import geopandas as gpd
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import geoplot
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import geoplot.crs as gcrs
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import matplotlib.pyplot as plt
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import numpy as np
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def main(
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@ -29,33 +27,41 @@ def main(
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for plz_prefix in plz_prefixes:
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data.loc[data["plz"].str.startswith(plz_prefix), "highlighted"] = True
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ax = plt.axes(projection=ccrs.TransverseMercator())
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geoplot.polyplot(
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data,
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projection=gcrs.TransverseMercator(),
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edgecolor=map_background_color,
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facecolor=map_background_color,
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linewidth=0.3,
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ax=ax,
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)
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geoplot.polyplot(
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data[data["highlighted"]],
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projection=gcrs.TransverseMercator(),
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edgecolor=map_accent_color,
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facecolor=map_accent_color,
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linewidth=0.3,
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ax=ax,
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)
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# TODO: This should instead be a proper geo spatial projection
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coordinate_transform = np.array([[1.0, 1.6]]).T
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ax = plt.axes(aspect="equal")
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for bundesland in data["bundesland"].unique():
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bundesland_df = data[data["bundesland"] == bundesland]
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union = bundesland_df.unary_union
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for geom in getattr(union, "geoms", [union]):
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ax.fill(
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*(geom.exterior.xy * coordinate_transform),
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fc=map_background_color,
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ec=image_background_color,
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linewidth=0.1,
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)
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if not any(bundesland_df["highlighted"]):
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continue
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union = bundesland_df[bundesland_df["highlighted"]].unary_union
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for geom in getattr(union, "geoms", [union]):
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ax.fill(
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*(geom.exterior.xy * coordinate_transform),
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fc=map_accent_color,
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ec=None,
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)
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ax.set_facecolor(image_background_color)
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plt.axis("off")
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plt.tight_layout(pad=0.0, h_pad=None, w_pad=None)
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plt.tight_layout(pad=0.0, h_pad=0.0, w_pad=0.0)
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plt.savefig(
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output_file_path,
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dpi=600,
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dpi=300,
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facecolor=image_background_color,
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edgecolor="none",
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bbox_inches='tight',
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bbox_inches="tight",
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)
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@ -1,2 +1,2 @@
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geopandas==0.11.1
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geoplot==0.5.1
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matplotlib==3.6.2
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