numpy.random.logistic() in Python
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 numpyimport numpy as npimport matplotlib.pyplot as plt # Using numpy.random.logistic() methodgfg1 = 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 numpyimport numpy as npimport matplotlib.pyplot as plt # Using numpy.random.logistic() methodgfg = np.random.logistic(13.31, 3.31, 1000) count, bins, ignored = plt.hist(gfg, 30, density = True)plt.show() |
Output :
Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.
To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning – Basic Level Course
