fishers_exact_test.py

from scipy.stats import fisher_exact

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

# Calculate test statistic and p-value
stat, p = fisher_exact(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.')