`scipy.stats._multivariate:random_table_gen.rvs`

Signature

def rvs(self, row, col, *, size = None, method = None, random_state = None)

Draw random tables with fixed column and row marginals.

row : array_like: Sum of table entries in each row.
col : array_like: Sum of table entries in each column.
size : int, optional: Number of samples to draw (default 1).
method : str, optional: Which method to use, "boyett" or "patefield". If None (default), selects the fastest method for this input.
seed : {None, int, np.random.RandomState, np.random.Generator}, optional: Used for drawing random variates. If seed is None, the ~np.random.RandomState singleton is used. If seed is an int, a new RandomState instance is used, seeded with seed. If seed is already a RandomState or Generator instance, then that object is used. Default is None.

rvs : ndarray: Random 2D tables of shape (size, len(row), len(col)).

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.rvs(row, col, random_state=123)

✗

array([[1, 0, 0],
       [1, 3, 1]])

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.rvs(random_state=123)

✗

array([[1, 0, 0],
       [1, 3, 1]])