ta, weights=[1./4, 3./4])
    Traceback (most recent call last):
        ...
    TypeError: Axis must be specified when shapes of a and weights differ.

    >>> a = np.ones(5, dtype=np.float128)
    >>> w = np.ones(5, dtype=np.complex64)
    >>> avg = np.average(a, weights=w)
    >>> print(avg.dtype)
    complex256

    With ``keepdims=True``, the following result has shape (3, 1).

    >>> np.average(data, axis=1, keepdims=True)
    array([[0.5],
           [2.5],
           [4.5]])
    rÊ