numpy.random.rand() in Python

numpy.random.wald() in Python

Last Updated : 18 Aug, 2020

With the help of numpy.random.wald() method, we can get the random samples from Wald or Inverse Gaussian distribution and return the random samples as numpy array by using this method.

Inverse Gaussian distribution

Syntax : numpy.random.wald(mean, scale, size=None)

Return : Return the random samples as numpy array.

Example #1 :

In this example we can see that by using numpy.random.wald() method, we are able to get the random samples from wald or inverse gaussian distribution and return the random samples.

Python3

Python3

# import numpy 
import numpy as np 
import matplotlib.pyplot as plt 
  
# Using wald() method 
gfg = np.random.wald(5, 3.7, 5000) 
  
plt.hist(gfg, bins = 50, density = True) 
plt.show()

Output :

Example #2 :

Python3

Python3

# import numpy 
import numpy as np 
import matplotlib.pyplot as plt 
  
# Using wald() method 
gfg = np.random.wald(10, 5.5, 10000) 
  
plt.hist(gfg, bins = 100, density = True) 
plt.show()

Output :

numpy.random.rand() in Python

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