ndarray.__iand__ x.__iand__(y) <==> x&=y

matrix.compress(condition, axis=None, out=None) Return selected slices of this array along given axis. Refer to

matrix.getfield(dtype, offset=0) Returns a field of the given array as a certain type. A field is a view of the

recarray.squeeze(axis=None) Remove single-dimensional entries from the shape of a. Refer to

MaskedArray.__rand__ x.__rand__(y) <==> y&x

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

matrix.swapaxes(axis1, axis2) Return a view of the array with axis1 and axis2 interchanged.

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

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

ndarray.__int__() <==> int(x)