ndarray.__divmod__(y) <==> divmod(x, y)

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

matrix.nonzero() Return the indices of the elements that are non-zero. Refer to

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

ndarray.__setitem__ x.__setitem__(i, y) <==> x[i]=y

MaskedArray.searchsorted(v, side='left', sorter=None) Find indices where elements of v should be inserted in

MaskedArray.__radd__(other)

MaskedArray.__repr__()

record.tobytes()

ndarray.var(axis=None, dtype=None, out=None, ddof=0, keepdims=False) Returns the variance of the array elements, along given