numpy.random.exponential() in Python

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()

Output :