DOC: add example showing FeatureArtist is a ScalarMappable #2340
Conversation
|
|
||
| # Plot the geometries coloured according to population estimate. | ||
| art = ax.add_geometries(geometries, crs=ccrs.PlateCarree(), | ||
| array=population_estimates, cmap='YlGnBu', norm='log') |
There was a problem hiding this comment.
Set a lower limit of 1 million to get a little more color variation?
| array=population_estimates, cmap='YlGnBu', norm='log') | |
| array=population_estimates, cmap='YlGnBu', norm='log', vmin=1e6) |
There was a problem hiding this comment.
The mappable won't take vmin so we have to pass it to the LogNorm. I think that's OK and I had already been wondering about limiting the range, so 👍
| -------------------------------- | ||
|
|
||
| This example shows how to colour geometries based on a data array. This | ||
| functionality is available since Cartopy 0.23. |
There was a problem hiding this comment.
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.
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.
|
And the tests are broken again :-( |
|
The test failure seems to be coming from deep in owslib. Anyway it's clearly not caused by this PR so I'm going to merge. |
Rationale
Since #2323
FeatureArtistis aScalarMappableso we can colour geometries using a data array. I don't think this functionality is very discoverable so here is an example. Bikeshedding suggestions welcome!Implications