chi_squared_test.py

from scipy.stats import chi2_contingency

# Example contingency table
table = [[100, 80, 70],[150,  20,  80]]

# Calculate test statistic and p-value
stat, p, dof, expected = chi2_contingency(table)

# Interpreation
print('stat=%.3f, p=%.3f' % (stat, p))
if p > 0.05:
    print('Do not reject the null hypothesis and conclude the variables are independent.')
else:
    print('Reject the null hypothesis and conclude that the variables are dependent.')