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`matplotlib.colorizer.Colorizer` encapsulates the data-to-color pipeline. It makes reuse of colormapping easier, e.g. across multiple images. Plotting methods that support ``norm`` and ``cmap`` keyword arguments now also accept a ``colorizer`` keyword argument.
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`matplotlib.colorizer.Colorizer` encapsulates the data-to-color pipeline. It makes reuse of colormapping easier, e.g. across multiple images. Plotting methods that support *norm* and *cmap* keyword arguments now also accept a *colorizer* keyword argument.
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In the following example the norm and cmap are changed on multiple plots simultaneously:
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@@ -324,7 +324,7 @@ In the following example the norm and cmap are changed on multiple plots simulta
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colorizer.vmax = 2
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colorizer.cmap = 'RdBu'
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All plotting methods that use a data-to-color pipeline now create a colorizer object if one is not provided. This can be re-used in by subsequent artists such that they will share a single data-to-color pipeline:
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All plotting methods that use a data-to-color pipeline now create a colorizer object if one is not provided. This can be re-used by subsequent artists such that they will share a single data-to-color pipeline:
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