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

ndarray.__isub__ x.__isub__(y) <==> x-=y

MaskedArray.diagonal(offset=0, axis1=0, axis2=1)

generic.strides tuple of bytes steps in each dimension

MaskedArray.tostring(fill_value=None, order='C')

ndarray.data Python buffer object pointing to the start of the array?s data.

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

ndarray.dtype Data-type of the array?s elements.

MaskedArray.__nonzero__ x.__nonzero__() <==> x != 0

generic.conj()