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

1 vote122 views1 answer
Django createmany
Python
0 vote193 views1 answer
Travis deployment script for django applications to heroku
Python Django
0 vote138 views2 answers
Pandas excel writer append in row
Python
0 vote159 views1 answer
Getting heading from a webpage in beautifulsoup
Python
0 vote121 views1 answer
Pandas string manipulation on column
Python
0 vote127 views1 answer
Access CSV Files in Google Colab
Python
0 vote131 views1 answer
Python load file with multiple jsons
Python
1 vote125 views1 answer
Python ssh library
Python
1 vote125 views1 answer
How to write something in python
Python
2 votes128 views1 answer
Check if message is in dm discord.py
Python