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Do not fail when markers are numpy integers#30838
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timhoffm requested changesDec 11, 2025
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As explained in#30836, I think this is the wrong approach. If we go down this road, next somebody will come along and requests support for pytorch.
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PR summary
Do not fail when marker values are numpy integers e.g.
np.int64(4).The rationale is, matplotlib exists in an ecosystem where pandas and numpy container types are prevalent. When the containers (
pd.Series,np.array) contain only integer values, they do not preserve the originalinttype when the values come out. i.e.ints go innp.int64s come out. With this PR aninttype marker that goes into these containers will still recognised as a marker when it comes out.closes#30836
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