115 lines
3.4 KiB
Python
115 lines
3.4 KiB
Python
import argparse
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import json
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import geopandas as gpd
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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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plz_data_path: str,
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plz_prefixes_path: str,
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output_file_path: str,
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map_background_color: str,
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map_accent_color: str,
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image_background_color: str,
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):
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if not output_file_path.endswith(".png"):
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raise ValueError(f"Output file needs to be a .png but is {output_file_path}")
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with open(plz_prefixes_path, "r") as fh:
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plz_prefixes = json.load(fh)
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with open(plz_data_path, "r") as fh:
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plz_geojson_data = json.load(fh)
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data = gpd.GeoDataFrame.from_features(plz_geojson_data["features"])
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data["highlighted"] = False
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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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# 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=0.0, w_pad=0.0)
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plt.savefig(
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output_file_path,
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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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)
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if __name__ == "__main__":
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parser = argparse.ArgumentParser()
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parser.add_argument(
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"--plz-data",
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required=True,
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help="A GEOJSON file with a 'plz' feature, like the one for Germany that can be"
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+ " downloaded from "
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+ "https://opendata-esri-de.opendata.arcgis.com/datasets/5b203df4357844c8a6715d7d411a8341_0",
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)
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parser.add_argument(
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"--plz-highlight",
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required=True,
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help="A JSON file with a list of PLZ (prefixes) that should be highlighted.",
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)
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parser.add_argument(
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"--out",
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required=True,
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help="A .png file path where the generated image should be stored.",
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)
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parser.add_argument(
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"--img-bg-color",
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type=str,
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default="#EDEFEB",
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help="Color outside of the map, the image file background.",
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)
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parser.add_argument(
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"--map-bg-color",
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type=str,
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default="#202020",
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help="Color code for the background map, non highlighted areas.",
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)
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parser.add_argument(
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"--map-accent-color",
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type=str,
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default="#EF7C21",
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help="Color code for the highlighted areas on the map.",
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)
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args = parser.parse_args()
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main(
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plz_data_path=args.plz_data,
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plz_prefixes_path=args.plz_highlight,
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output_file_path=args.out,
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map_background_color=args.map_bg_color,
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map_accent_color=args.map_accent_color,
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image_background_color=args.img_bg_color,
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)
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