Example #1
0
def mean(P, ax=None):

    A = P.A.copy()
    if P.dtype==f.frac:
        for key in P.keys:
            A[key] = f.mean(A[key], ax)
    else:
        for key in P.keys:
            A[key] = np.mean(A[key], ax)
    return Poly(A, P.dim, A[key].shape, P.dtype)
Example #2
0
def mean(P, ax=None):

    A = P.A.copy()
    if P.dtype == f.frac:
        for key in P.keys:
            A[key] = f.mean(A[key], ax)
    else:
        for key in P.keys:
            A[key] = np.mean(A[key], ax)
    return Poly(A, P.dim, A[key].shape, P.dtype)
Example #3
0
def mean(A, ax=None):

    if isinstance(A, (int, long, float, np.ndarray)):
        return np.mean(A, ax)

    elif isinstance(A, f.frac):
        return f.mean(A)

    elif isinstance(A, p.Poly):
        return p.mean(A)

    raise NotImplementedError
Example #4
0
def mean(A, ax=None):

    if isinstance(A, (int, long, float, np.ndarray)):
        return np.mean(A, ax)

    elif isinstance(A, f.frac):
        return f.mean(A)

    elif isinstance(A, p.Poly):
        return p.mean(A)

    raise NotImplementedError