Gro/member-map
1
0
Fork 1
Code Issues 1 Pull Requests Packages Projects Releases Wiki Activity

hotfix/dependencies-and-plz-data-schema-change (closes #2) #3

Merged
Gro merged 3 commits from hotfix/dependencies-and-plz-data-schema-change into main 2024-06-28 16:00:02 +02:00
Conversation 0 Commits 3 Files Changed 3 +15 -18
3 changed files with 15 additions and 18 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
Dockerfile
View File

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

16
main.py
View File

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

1
requirements.txt
View File

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