Project https://github.com/orgs/matplotlib/projects/9, which resolves github.com/matplotlib/matplotlib/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 https://github.com/matplotlib/matplotlib/pull/30511 is completed
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).
ColorizerandColorizingArtistto replaceScalarMappableand handle the norm→color pipelineMultiNormclass to handle the normalization of data for bivariate and multivariate colormapsColorizerandColorizingArtistwork withMultiNorm,BivarColormapandMultivarColormapimshow(),pcolor()andpcolormesh()fig.colorbar()forBivarColormapandMultivarColormapto work withColorizingArtistI will work on this issue will be worked on once #30511 is completed