Dockerfile

@@ -4,7 +4,7 @@ ARG PLZ_DATA=Postleitzahlengebiete_-_OSM.geojson
 ARG PLZ_HIGHLIGHT=wtf_member_plz_prefixes.json
 
 # Set up environment with dependencies
-RUN apt-get update && apt-get install libblas-dev python3-pip libgeos-dev libgdal-dev wget optipng imagemagick -y
+RUN apt-get update && apt-get install libblas-dev python3-pip libgeos-dev wget optipng imagemagick -y
 COPY requirements.txt ./
 RUN pip install -r requirements.txt
 

main.py

@@ -28,23 +28,27 @@ def main(
         data.loc[data["plz"].str.startswith(plz_prefix), "highlighted"] = True
 
     # TODO: This should instead be a proper geo spatial projection
-    coordinate_transform = np.array([[1.0, 1.0]]).T
+    coordinate_transform = np.array([[1.0, 1.6]]).T
 
     ax = plt.axes(aspect="equal")
-    union = data.unary_union
+    for bundesland in data["bundesland"].unique():
+        bundesland_df = data[data["bundesland"] == bundesland]
+        union = bundesland_df.unary_union
         for geom in getattr(union, "geoms", [union]):
             ax.fill(
-            *geom.exterior.xy,
+                *(geom.exterior.xy * coordinate_transform),
                 fc=map_background_color,
                 ec=image_background_color,
                 linewidth=0.1,
             )
 
-    if any(data["highlighted"]):
-        union = data[data["highlighted"]].unary_union
+        if not any(bundesland_df["highlighted"]):
+            continue
+
+        union = bundesland_df[bundesland_df["highlighted"]].unary_union
         for geom in getattr(union, "geoms", [union]):
             ax.fill(
-                *geom.exterior.xy,
+                *(geom.exterior.xy * coordinate_transform),
                 fc=map_accent_color,
                 ec=None,
             )

requirements.txt

@@ -1,3 +1,2 @@
-numpy==1.26.4
 geopandas==0.11.1
 matplotlib==3.6.2