numpy.random.standard_t() in Python

numpy.random.weibull() in Python

Last Updated : 18 Aug, 2020

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

Weibull Distribution

Syntax : numpy.random.weibull(a, size=None)

Return : Return the random samples as numpy array.

Example #1 :

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

Python3

# import numpy 
import numpy as np 
import matplotlib.pyplot as plt 
  
# Using weibull() method 
gfg = np.random.weibull(5, 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 weibull() method 
gfg = np.random.weibull(6.78, 10000) 
  
plt.hist(gfg, bins = 100, density = True) 
plt.show()

Output :

numpy.random.standard_t() in Python

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