With the help of numpy.random.f() method, we can get the random samples of F distribution and return the random samples of numpy array by using this method.
Syntax : numpy.random.f(dfnum, dfden, size=None)
Return : Return the random samples as numpy array.
Example #1 :
In this example we can see that by using numpy.random.f() method, we are able to get the random samples of F distribution and return the random samples by using this method.
Python3
# import numpy and f import numpy as np import matplotlib.pyplot as plt   # Using f() method gfg = np.random.f(0.98, 15.43, 1000)   count, bins, ignored = plt.hist(gfg, 30, density = True) plt.show() |
Output :
Example #2 :
Python3
# import numpy and f import numpy as np import matplotlib.pyplot as plt   # Using f() method gfg = np.random.f(14.56, 31.45, 30000) gfg1 = np.random.f(gfg, 10.45, 30000)   count, bins, ignored = plt.hist(gfg1, 14, density = True) plt.show() |
Output :
