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numpy.random.logistic() in Python

  • Last Updated : 15 Jul, 2020

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

logistic distribution

Syntax : numpy.random.logistic(loc=0.0, scale=1.0, size=None)

Return : Return the random samples as numpy array.

Example #1 :

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



Python3




# import numpy
import numpy as np
import matplotlib.pyplot as plt
  
# Using numpy.random.logistic() method
gfg1 = np.random.logistic(1.23, 3.14, 1000)
gfg2 = np.random.logistic(gfg1, 3.14, 1000)
  
count, bins, ignored = plt.hist(gfg2, 50, density = True)
plt.show()

Output :

Example #2 :

Python3




# import numpy
import numpy as np
import matplotlib.pyplot as plt
  
# Using numpy.random.logistic() method
gfg = np.random.logistic(13.31, 3.31, 1000)
  
count, bins, ignored = plt.hist(gfg, 30, density = True)
plt.show()

Output :

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