`scipy.stats.contingency:margins`

Signature

def margins(a)

Return a list of the marginal sums of the array a.

margsums : list of ndarrays: A list of length a.ndim. margsums[k] is the result of summing a over all axes except k; it has the same number of dimensions as a, but the length of each axis except axis k will be 1.

import numpy as np
from scipy.stats.contingency import margins

✓

a = np.arange(12).reshape(2, 6)
a
m0, m1 = margins(a)
m0
m1

✓

array([[ 6,  8, 10, 12, 14, 16]])

b = np.arange(24).reshape(2,3,4)
m0, m1, m2 = margins(b)

✓

m0

✗

array([[[ 66]],

       [[210]]])

m1
m2

✓

array([[[60, 66, 72, 78]]])