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 importnumpy as np importmatplotlib.pyplot as plt  Â# Using noncentral_f() method gfg =np.random.noncentral_f(1.24, 21, 3, 1000)  Âcount, bins, ignored =plt.hist(gfg, 50, density =True) plt.show() | 
Output :
Example #2 :
Python3
| # import numpy importnumpy as np importmatplotlib.pyplot as plt  Â# Using noncentral_f() method gfg =np.random.noncentral_f(10.23, 12.13, 3, 10000)  Âcount, bins, ignored =plt.hist(gfg, 14, density =True) plt.show() | 
Output :

 
                                    








