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mask_bad = X.mask if np.ma.is_masked(X) else np.isnan(X) # Mask nan's.
# Take the bad mask from a masked array, or in all other cases defer
# np.isnan() to after we have converted to an array.
mask_bad = X.mask if np.ma.is_masked(X) else None
xa = np.array(X, copy=True)
if mask_bad is None:
mask_bad = np.isnan(xa)
if not xa.dtype.isnative:
xa = xa.byteswap().newbyteorder() # Native byteorder is faster.
if xa.dtype.kind == "f":
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Backport PR #24009 on branch v3.6.x (Fix evaluating colormaps on non-numpy arrays) #24231
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Backport PR #24009 on branch v3.6.x (Fix evaluating colormaps on non-numpy arrays) #24231
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