DOC: the SciPy website mistakenly believe that the chi2_contingency function returns a Chi2ContingencyResult about scipy HOT 1 CLOSED

import numpy as np
import scipy
from scipy.stats import chi2_contingency
table = np.array([[176, 230], [21035, 21018]])
res = chi2_contingency(table)
print(scipy.__version__)  # 1.13.0
print(type(res))  # <class 'scipy.stats.contingency.Chi2ContingencyResult'>
print(res.statistic, res.pvalue)  # 6.892569132546561 0.008655478161175739