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

6 votes207 views2 answers
Python get current time in seconds
Python
0 vote209 views1 answer
Pil saves blue images
Python
4 votes186 views2 answers
Pyautogui.click
Python
0 vote142 views1 answer
Ai chatbot python
Python
0 vote183 views1 answer
Icon tkiner
Python
2 votes255 views3 answers
Mongodb between two values
Python
2 votes183 views1 answer
Python cv2 screen capture
Python
0 vote190 views1 answer
Pandas bins pd.cut()
Python
0 vote178 views1 answer
Import re #your code goes here number=input() pattern=r"(1|8|9)[0-9]+" match=re.match(pattern,number) of lane(number)==8: if(match): print("value") else: print("invalid") else print("invalid")
Python
0 vote242 views1 answer
Numpy diag()
Python