he new shape is larger).  This functionality is therefore not suitable to
    resize images, or data where each axis represents a separate and distinct
    entity.

    Examples
    --------
    >>> a=np.array([[0,1],[2,3]])
    >>> np.resize(a,(2,3))
    array([[0, 1, 2],
           [3, 0, 1]])
    >>> np.resize(a,(1,4))
    array([[0, 1, 2, 3]])
    >>> np.resize(a,(2,4))
    array([[0, 1, 2, 3],
           [0, 1, 2, 3]])

    r