`scipy.stats._multivariate:random_table_gen.mean`

Signature

def mean(self, row, col)

Mean of distribution of conditional tables.

The row and column vectors must be one-dimensional, not empty, and each sum up to the same value. They cannot contain negative or noninteger entries.

from scipy.stats import random_table

✓

row = [1, 5]
col = [2, 3, 1]

✓

random_table.mean(row, col)

✗

array([[0.33333, 0.5    , 0.16667],
       [1.66667, 2.5    , 0.83333]])

Alternatively, the object may be called (as a function) to fix the row and column vector sums, returning a "frozen" distribution.

d = random_table(row, col)

✓

d.mean()

✗

array([[0.33333, 0.5    , 0.16667],
       [1.66667, 2.5    , 0.83333]])