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 vote264 views1 answer
Python add current directory to import path
Python
0 vote250 views1 answer
How to subtract numbers in python
Python
0 vote244 views1 answer
From flask import flask app = flask(__name__) @app.route("/") def hello_world(): return "<p>hello, world!</p>"
Python
0 vote273 views1 answer
Find allurl in text python
Python
0 vote271 views1 answer
Deactivate pandas warning copy
Python
2 votes270 views1 answer
From Crypto.Cipher import AES ModuleNotFoundError: No module named 'Crypto'
Python
2 votes245 views1 answer
Get all occurrence indices in list python
Python
0 vote268 views1 answer
Function continuity python
Python
0 vote258 views1 answer
Pandas fillna with median of column
Python
1 vote279 views1 answer
Deleting all rows in pandas
Python