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

ndarray.__float__() <==> float(x)

matrix.A1 Return self as a flattened

MaskedArray.itemsize Length of one array element in bytes. Examples

ndarray.__iadd__ x.__iadd__(y) <==> x+=y

ndarray.ptp(axis=None, out=None) Peak to peak (maximum - minimum) value along a given axis. Refer to

recarray.itemset(*args) Insert scalar into an array (scalar is cast to array?s dtype, if possible) There must be

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

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

matrix.dumps() Returns the pickle of the array as a string. pickle.loads or numpy.loads will convert the string back to an