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

ndarray.dot(b, out=None) Dot product of two arrays. Refer to

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

recarray.sum(axis=None, dtype=None, out=None, keepdims=False) Return the sum of the array elements over the given axis.

MaskedArray.ctypes An object to simplify the interaction of the array with the ctypes module. This attribute

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

MaskedArray.__array_priority__ = 15

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

record.itemsize length of one element in bytes

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