MaskedArray.nbytes Total bytes consumed by the elements of the array. Notes Does

MaskedArray.take(indices, axis=None, out=None, mode='raise')

MaskedArray.view(dtype=None, type=None)

MaskedArray.__rfloordiv__(other)

MaskedArray.__rand__ x.__rand__(y) <==> y&x

MaskedArray.__repr__()

MaskedArray.__floordiv__(other)

MaskedArray.__radd__(other)

MaskedArray.__contains__ x.__contains__(y) <==> y in x

Rationale Masked arrays are arrays that may have missing or invalid entries. The numpy.ma module provides a nearly work-alike replacement for numpy