Do not fail when markers are numpy integers #30838
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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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