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 :
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