-
Notifications
You must be signed in to change notification settings - Fork 361
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
DOC: add example showing FeatureArtist is a ScalarMappable #2340
Merged
Merged
Changes from all commits
Commits
File filter
Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,48 @@ | ||
""" | ||
Associating data with geometries | ||
-------------------------------- | ||
|
||
This example shows how to colour geometries based on a data array. This | ||
functionality is available since Cartopy 0.23. | ||
|
||
""" | ||
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() |
Oops, something went wrong.
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
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!There was a problem hiding this comment.
Choose a reason for hiding this comment
The reason will be displayed to describe this comment to others. Learn more.
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.