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()plot distribution seaborn
x = np.random.normal(size=100)
sns.distplot(x);mean =[0,0] covariance = [[1,0],[0,100]] ds = np.random.multivariate_normal(mean,covariance,500) dframe = pd.DataFrame(ds, columns=['col1', 'col2']) fig = sns.kdeplot(dframe).get_figure() fig.savefig('kde1.png')
mean =[0,0]
covariance = [[1,0],[0,100]]
ds = np.random.multivariate_normal(mean,covariance,500)
dframe = pd.DataFrame(ds, columns=['col1', 'col2'])
fig = sns.kdeplot(dframe).get_figure()
fig.savefig('kde1.png')Copyright © 2021 Codeinu
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