pythonnumpystatisticsjulia

Julia mapslices function equivalent in Python

I'm trying to find if there's a convenient equivalent to mapslices function from the Julia language to Python. Here's the line I'm trying to convert:

line_center = float64(mapslices(x->sum(x.^4.*[1:length(x)])./sum(x.^4),no_background,1)[:])
Solution

  • For anyone wondering, here's an answer.

    def exp_func(x):
    return np.dot(np.arange(len(x)), np.power(x, 4))/(np.sum(np.power(x, 4)))

result = np.apply_along_axis(exp_func,axis = 0,array)

    exp_func takes 1-D arrays.