numpy.random.zipf() in Python
With the help of numpy.random.zipf() method, we can get the random samples from zipf distribution and return the random samples as numpy array by using this method.
Zipf distribution
Syntax : numpy.random.zipf(a, size=None)
Return : Return the random samples as numpy array.
Example #1 :
In this example we can see that by using numpy.random.zipf() method, we are able to get the random samples from zipf distribution and return the random samples as numpy array.
Python3
# import numpy import numpy as np import matplotlib.pyplot as plt # Using zipf() method gfg = np.random.zipf(2.7, 5000) plt.hist(gfg, bins = 50, density = True) plt.show() |
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Output :
Example #2 :
Python3
# import numpy import numpy as np import matplotlib.pyplot as plt # Using zipf() method gfg = np.random.zipf(4, 10000) plt.hist(gfg, bins = 50, density = True) plt.show() |
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Output :
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