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DOC: add example showing FeatureArtist is a ScalarMappable #2340

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48 changes: 48 additions & 0 deletions examples/scalar_data/geometry_data.py
Original file line number Diff line number Diff line change
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"""
Associating data with geometries
--------------------------------

This example shows how to colour geometries based on a data array. This
functionality is available since Cartopy 0.23.
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Is there a way to do a .. since: or something to automatically tag this with sphinx-gallery. I like that you put this in there to let people know when it came in!

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I don't know if there is but I am far from an expert in sphinx and sphinx-gallery. Over at matplotlib/matplotlib#27292 Hannah was advocating using sphinx tags for that sort of thing.


"""
import matplotlib.colors as mcolors
import matplotlib.pyplot as plt

import cartopy.crs as ccrs
import cartopy.io.shapereader as shpreader


def main():
# Load Natural Earth's country shapefiles.
shpfilename = shpreader.natural_earth(resolution='110m',
category='cultural',
name='admin_0_countries')
reader = shpreader.Reader(shpfilename)
countries = reader.records()

# Get hold of the geometry and population estimate from each country's record.
geometries = []
population_estimates = []

for country in countries:
geometries.append(country.geometry)
population_estimates.append(country.attributes['POP_EST'])

# Set up a figure and an axes with the Eckert VI projection.
fig = plt.figure()
ax = fig.add_subplot(projection=ccrs.EckertVI())

# Plot the geometries coloured according to population estimate.
art = ax.add_geometries(geometries, crs=ccrs.PlateCarree(),
array=population_estimates, cmap='YlGnBu',
norm=mcolors.LogNorm(vmin=1e6))
cbar = fig.colorbar(art, orientation='horizontal', extend='min')
cbar.set_label('Number of people')
fig.suptitle('Country Population Estimates', fontsize='x-large')

plt.show()


if __name__ == '__main__':
main()
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