numpy.core.defchararray.rfind(a, sub, start=0, end=None)

numpy.any(a, axis=None, out=None, keepdims=False)

numpy.r_ = Translates slice objects to concatenation along the first axis. This is a simple way to build up arrays quickly. There

numpy.asmatrix(data, dtype=None)

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

numpy.tensordot(a, b, axes=2)

numpy.diag_indices(n, ndim=2)

numpy.testing.assert_equal(actual, desired, err_msg='', verbose=True)

numpy.ma.harden_mask(self) = Force the mask to hard. Whether the mask of a masked array is hard or soft is determined

class numpy.finfo