MaskedArray.__lt__ x.__lt__(y) <==> x<y

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

MaskedArray.__copy__([order]) Return a copy of the array.

MaskedArray.product(axis=None, dtype=None, out=None)

ndarray.put(indices, values, mode='raise') Set a.flat[n] = values[n] for all n in indices. Refer

ndarray.__truediv__ x.__truediv__(y) <==> x/y

generic.repeat() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from, and

generic.setflags() Not implemented (virtual attribute) Class generic exists solely to derive numpy scalars from

recarray.argmax(axis=None, out=None) Return indices of the maximum values along the given axis. Refer to

ndarray.__repr__() <==> repr(x)