With the help of numpy.random.noncentral_f() method, we can get the random samples from noncentral F distribution and return the random samples by using this method.
Syntax : numpy.random.noncentral_f(dfnum, dfden, nonc, size=None)
Return : Return the random samples as numpy array.
Example #1 :
In this example we can see that by using numpy.random.noncentral_f() method, we are able to get the random samples from noncentral F distribution by using this method.
Python3
# import numpy import numpy as np import matplotlib.pyplot as plt # Using noncentral_f() method gfg = np.random.noncentral_f(1.24, 21, 3, 1000) count, bins, ignored = plt.hist(gfg, 50, density = True) plt.show() |
Output :
Example #2 :
Python3
# import numpy import numpy as np import matplotlib.pyplot as plt # Using noncentral_f() method gfg = np.random.noncentral_f(10.23, 12.13, 3, 10000) count, bins, ignored = plt.hist(gfg, 14, density = True) plt.show() |
Output :
