numpy.random.exponential() in Python

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

exponential distribution

Syntax : numpy.random.exponential(scale=1.0, size=None)

Return : Return the random samples of numpy array.

Example #1 :

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

Python3

# import exponential 
import numpy as np 
import matplotlib.pyplot as plt 
  
# Using exponential() method 
gfg = np.random.exponential(3.45, 10000) 
  
count, bins, ignored = plt.hist(gfg, 14, density = True) 
plt.show()

Output :

Example #2 :

Python3

# import exponential 
import numpy as np 
import matplotlib.pyplot as plt 
  
# Using exponential() method 
gfg = np.random.exponential(101.123, 10000) 
gfg1 = np.random.exponential(gfg, 10000) 
  
count, bins, ignored = plt.hist(gfg1, 14, density = True) 
plt.show()