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Q&A Add additional shapes on a GeoPandas matplotlib

Apparently, it doesn't take much to add another set of features. You create the axes first and refer to them when plotting additional shapes. Adapted from GeoPandas' geocoding example. import matp...

posted 1y ago by Michael‭  ·  edited 1y ago by Michael‭

Answer
#3: Post edited by user avatar Michael‭ · 2025-07-18T20:25:57Z (about 1 year ago)
Fix save method
  • Apparently, it doesn't take much to add another set of features. You create the axes first and refer to them when plotting additional shapes. Adapted from [GeoPandas' geocoding example](https://geopandas.org/en/stable/docs/user_guide/geocoding.html).
  • ```py
  • import matplotlib
  • import matplotlib.pyplot as plt # Don't forget this import
  • import geopandas as gpd
  • import contextily as ctx
  • points = gpd.read_file('points.geojson')
  • points = points.to_crs('EPSG:4326')
  • # Snipped a bunch of filtering/adjustment here.
  • fig, ax = plt.subplots(figsize=(15, 15))
  • points.plot(ax=ax, markersize=20)
  • shapes.plot(ax=ax, linewidth=3)
  • ctx.add_basemap(ax, crs=points.crs, source=ctx.providers.CartoDB.Positron)
  • with open('render.png', 'wb') as img:
  • img.write(ax.set_axis_off())
  • ```
  • Apparently, it doesn't take much to add another set of features. You create the axes first and refer to them when plotting additional shapes. Adapted from [GeoPandas' geocoding example](https://geopandas.org/en/stable/docs/user_guide/geocoding.html).
  • ```py
  • import matplotlib
  • import matplotlib.pyplot as plt # Don't forget this import
  • import geopandas as gpd
  • import contextily as ctx
  • points = gpd.read_file('points.geojson')
  • points = points.to_crs('EPSG:4326')
  • # Snipped a bunch of filtering/adjustment here.
  • fig, ax = plt.subplots(figsize=(15, 15))
  • points.plot(ax=ax, markersize=20)
  • shapes.plot(ax=ax, linewidth=3)
  • ctx.add_basemap(ax, crs=points.crs, source=ctx.providers.CartoDB.Positron)
  • fig.savefig('render.png')
  • ```
#2: Post edited by user avatar Alexei‭ · 2025-07-18T06:18:21Z (about 1 year ago)
fixed the link
  • Apparently, it doesn't take much to add another set of features. You create the axes first and refer to them when plotting additional shapes. Adapted from [GeoPandas' geocoding example](geocoding).
  • ```py
  • import matplotlib
  • import matplotlib.pyplot as plt # Don't forget this import
  • import geopandas as gpd
  • import contextily as ctx
  • points = gpd.read_file('points.geojson')
  • points = points.to_crs('EPSG:4326')
  • # Snipped a bunch of filtering/adjustment here.
  • fig, ax = plt.subplots(figsize=(15, 15))
  • points.plot(ax=ax, markersize=20)
  • shapes.plot(ax=ax, linewidth=3)
  • ctx.add_basemap(ax, crs=points.crs, source=ctx.providers.CartoDB.Positron)
  • with open('render.png', 'wb') as img:
  • img.write(ax.set_axis_off())
  • ```
  • [geocoding]: https://geopandas.org/en/stable/docs/user_guide/geocoding.html
  • Apparently, it doesn't take much to add another set of features. You create the axes first and refer to them when plotting additional shapes. Adapted from [GeoPandas' geocoding example](https://geopandas.org/en/stable/docs/user_guide/geocoding.html).
  • ```py
  • import matplotlib
  • import matplotlib.pyplot as plt # Don't forget this import
  • import geopandas as gpd
  • import contextily as ctx
  • points = gpd.read_file('points.geojson')
  • points = points.to_crs('EPSG:4326')
  • # Snipped a bunch of filtering/adjustment here.
  • fig, ax = plt.subplots(figsize=(15, 15))
  • points.plot(ax=ax, markersize=20)
  • shapes.plot(ax=ax, linewidth=3)
  • ctx.add_basemap(ax, crs=points.crs, source=ctx.providers.CartoDB.Positron)
  • with open('render.png', 'wb') as img:
  • img.write(ax.set_axis_off())
  • ```
#1: Initial revision by user avatar Michael‭ · 2025-07-17T16:36:35Z (about 1 year ago)
Apparently, it doesn't take much to add another set of features. You create the axes first and refer to them when plotting additional shapes. Adapted from [GeoPandas' geocoding example](geocoding).

```py
import matplotlib
import matplotlib.pyplot as plt  # Don't forget this import
import geopandas as gpd
import contextily as ctx

points = gpd.read_file('points.geojson')
points = points.to_crs('EPSG:4326')

# Snipped a bunch of filtering/adjustment here.

fig, ax = plt.subplots(figsize=(15, 15))

points.plot(ax=ax, markersize=20)
shapes.plot(ax=ax, linewidth=3)

ctx.add_basemap(ax, crs=points.crs, source=ctx.providers.CartoDB.Positron)

with open('render.png', 'wb') as img:
    img.write(ax.set_axis_off())
```

[geocoding]: https://geopandas.org/en/stable/docs/user_guide/geocoding.html