numpy.random.pareto() in Python
Last Updated :
15 Jul, 2020
With the help of numpy.random.pareto() method, we can get the random samples from Pareto II or Lomax distribution having a specific shape and return the random samples by using this method.
Lomax distribution
Syntax : numpy.random.pareto(a, size=None)
Return : Return the random samples.
Example #1 :
In this example we can see that by using numpy.random.pareto() method, we are able to get the random samples from Pareto or Lomax distribution and return the random samples by using this method.
Python3
import numpy as np
import matplotlib.pyplot as plt
gfg = np.random.pareto( 12.45 , 1000 )
count, bins, ignored = plt.hist(gfg, 14 , density = True )
plt.show()
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Output :
Example #2 :
Python3
import numpy as np
import matplotlib.pyplot as plt
gfg = np.random.pareto( 13.89 , 1000 )
count, bins, ignored = plt.hist(gfg, 14 , density = True )
plt.show()
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Output :
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