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 :