.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "examples/vectors/plot_natural_earth.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. note:: :class: sphx-glr-download-link-note Click :ref:`here ` to download the full example code .. rst-class:: sphx-glr-example-title .. _sphx_glr_examples_vectors_plot_natural_earth.py: Natural Earth and GeoPandas =========================== Demonstrate use of GeoPandas to highlight particular Natural Earth features. .. GENERATED FROM PYTHON SOURCE LINES 11-54 .. image-sg:: /examples/vectors/images/sphx_glr_plot_natural_earth_001.png :alt: Natural Earth with Geopandas :srcset: /examples/vectors/images/sphx_glr_plot_natural_earth_001.png :class: sphx-glr-single-img .. rst-class:: sphx-glr-script-out .. code-block:: none downloading https://naturalearth.s3.amazonaws.com/10m_cultural/ne_10m_admin_0_countries.zip... downloading https://naturalearth.s3.amazonaws.com/10m_cultural/ne_10m_admin_1_states_provinces.zip... | .. code-block:: default import matplotlib.pyplot as plt import hyoga # initialize figure ax = plt.subplot() # plot demo bedrock altitude with hyoga.open.example('pism.alps.out.2d.nc') as ds: ds.hyoga.plot.bedrock_altitude(ax=ax, vmin=0) # plot canonical Natural Earth background ds.hyoga.plot.natural_earth(ax=ax) # get dataset crs, we need this crs = ds.proj4 # lock axes extent ax.set_autoscale_on(False) # plot the Po river and Lago di Garda in blue rivers = hyoga.open.natural_earth('rivers_lake_centerlines') rivers[rivers.name == 'Po'].to_crs(crs).plot(ax=ax, edgecolor='tab:blue') lakes = hyoga.open.natural_earth('lakes') lakes[lakes.name == 'Lago di Garda'].to_crs(crs).plot(ax=ax) # plot the outline of Switzerland in red countries = hyoga.open.natural_earth('admin_0_countries', category='cultural') countries[countries.NAME == 'Switzerland'].to_crs(crs).plot( ax=ax, edgecolor='tab:red', facecolor='none', linewidth=2) # plot Austria's Salzburg state in green states = hyoga.open.natural_earth( 'admin_1_states_provinces', category='cultural') states[states.name == 'Salzburg'].to_crs(crs).plot( ax=ax, alpha=0.75, facecolor='tab:green') # set title ax.set_title('Natural Earth with Geopandas') # show plt.show() .. rst-class:: sphx-glr-timing **Total running time of the script:** ( 0 minutes 9.235 seconds) .. _sphx_glr_download_examples_vectors_plot_natural_earth.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: plot_natural_earth.py ` .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: plot_natural_earth.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_