ndarray.__pos__ x.__pos__() <==> +x

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

ndarray.conjugate() Return the complex conjugate, element-wise. Refer to numpy.conjugate for full

ndarray.__array_wrap__(obj) ? Object of same type as ndarray object a.

ndarray.trace(offset=0, axis1=0, axis2=1, dtype=None, out=None) Return the sum along diagonals of the array. Refer

ndarray.setfield(val, dtype, offset=0) Put a value into a specified place in a field defined by a data-type. Place

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

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

ndarray.argmin(axis=None, out=None) Return indices of the minimum values along the given axis of a. Refer

ndarray.argpartition(kth, axis=-1, kind='introselect', order=None) Returns the indices that would partition this array