Scipy check normal distribution

from scipy import stats
pts = 1000
np.random.seed(28041990)
a = np.random.normal(0, 1, size=pts)
b = np.random.normal(2, 1, size=pts)
x = np.concatenate((a, b))

k2, p_value = stats.normaltest(x)

alpha = 1e-3
print("p_value = {:g}".format(p))
# p_value = 3.27207e-11

if p_value < alpha:  # null hypothesis: x comes from a normal distribution
  print("The null hypothesis can be rejected")
else:
  print("The null hypothesis cannot be rejected")
# The null hypothesis can be rejected

Source: docs.scipy.org

Similar codes

0 vote171 views1 answer
Telephone number word generator python
Python
0 vote140 views2 answers
Np array to tuple
Python
29 votes151 views3 answers
Django admin create project
Python
0 vote179 views1 answer
Run django localhost server
Python Django
1 vote147 views1 answer
How to change the favicon in flask
Python
0 vote158 views1 answer
Write a list to a file using the writelines() function
Python
0 vote171 views1 answer
Create array of specific size python
Python
20 votes161 views6 answers
Python download file from url
Python
3 votes164 views1 answer
Remove commas from string python
Python
7 votes163 views3 answers
Python set cwd to file location
Python