`scipy.stats._multivariate:random_table_frozen.pmf`

Signature

def pmf(self, x)

Probability of table to occur in the distribution.

x : array-like: Two-dimensional table of non-negative integers, or a multi-dimensional array with the last two dimensions corresponding with the tables.

See class definition for a detailed description of parameters.

If row and column marginals of x do not match row and col, zero is returned.

from scipy.stats import random_table
import numpy as np

✓

x = [[1, 5, 1], [2, 3, 1]]
row = np.sum(x, axis=1)
col = np.sum(x, axis=0)

✓

random_table.pmf(x, row, col)

✗

np.float64(0.19580419580419592)

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.pmf(x)

✗

np.float64(0.19580419580419592)