Normality check Shapiro-Wilk test

numeric_Shapiro-Wilk_normality_test.py

from numpy.random import seed
from numpy.random import randn
from scipy.stats import shapiro
'''
24.5.2 Shapiro-Wilk Test
The Shapiro-Wilk test evaluates a data sample and quanties how likely it is that the data
was drawn from a Gaussian distribution
'''
# normality test
stat, p = shapiro(sample_singles)
print('Statistics=%.3f, p=%.3f' % (stat, p))
# interpret
alpha = 0.05
if p > alpha:
    print('Sample looks Gaussian (fail to reject H0)')
else:
    print('Sample does not look Gaussian (reject H0)')
    
#source: https://machinelearningmastery.com/statistics_for_machine_learning/