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

13 votes290 views5 answers
How to create role discord.py
Python
1 vote303 views1 answer
Django m2m .add
Python Django
0 vote320 views1 answer
Convert number from one range to another
Python
14 votes302 views1 answer
Filter list with python
Python
0 vote294 views1 answer
Pyqt5 qtextedit change color of a specific line
Python
1 vote366 views2 answers
Tree python
Python
0 vote297 views1 answer
Fake user agent python
Python
1 vote306 views2 answers
Calculator python tutorial
Python
0 vote373 views2 answers
Bs4 remove all emply tags
Python
3 votes255 views1 answer
Time decorator python
Python