matrix.mean(axis=None, dtype=None, out=None)

ndarray.__getslice__ x.__getslice__(i, j) <==> x[i:j] Use of negative indices is not supported.

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

ndarray.imag The imaginary part of the array. Examples >>>

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

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

recarray.diagonal(offset=0, axis1=0, axis2=1) Return specified diagonals. In NumPy 1.9 the returned array is a read-only

ndarray.__ge__ x.__ge__(y) <==> x>=y

MaskedArray.__imul__(other)

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