PYTHON

plot normal distribution python

import matplotlib.pyplot as plt
import numpy as np
import scipy.stats as stats
import math

mu = 0
variance = 1
sigma = math.sqrt(variance)
x = np.linspace(mu - 3 * sigma, mu + 3 * sigma, 100)
plt.plot(x, stats.norm.pdf(x, mu, sigma))
plt.show()

python plot normal distribution

import numpy as np
import matplotlib.pyplot as plt

def get_normal(n):
  mu,sigma = 10,1
  s = np.random.normal(mu, sigma, n)
  plt.hist(s, density=True)
  plt.show()

get_normal(100)

normalize a distribution plot

sns.histplot(x, stat='density')