Project Bivariate and Multivariate Colormapping, which resolves github.com//issues/14168 is divided into a number of milestones, of which this is one (highlighted in bold).
- Classes for bivariate and multivariate colormaps
- Colorizer and ColorizingArtist to replace ScalarMappable and handle the norm→color pipeline
- A MultiNorm class to handle the normalization of data for bivariate and multivariate colormaps
- Ensure the Colorizer and ColorizingArtist work with MultiNorm, BivarColormap and MultivarColormap
- Expose the new functionality via the top-level plotting functions: imshow(), pcolor() and pcolormesh()
- Create equivalents to fig.colorbar() for BivarColormap and MultivarColormap to work with ColorizingArtist
- Select bivariate and multivariate colormaps to include in matplotlib
- Examples demonstrating the new functionality
I will work on this issue will be worked on once #30511 is completed
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Project Bivariate and Multivariate Colormapping, which resolves github.com//issues/14168 is divided into a number of milestones, of which this is one (highlighted in bold).
I will work on this issue will be worked on once #30511 is completed