Return a new Index of the values set with the mask.
See also
numpy.ndarray.putmaskChanges elements of an array based on conditional and input values.
Examples
>>> idx1 = pd.Index([1, 2, 3])
>>> idx2 = pd.Index([5, 6, 7])
>>> idx1.putmask([True, False, False], idx2)
Index([5, 2, 3], dtype='int64')
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https://pandas.pydata.org/pandas-docs/version/2.3.0/reference/api/pandas.Index.putmask.html