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
# 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
# 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 :