numpy.random.f() in Python
Last Updated :
15 Jul, 2020
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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.
# 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 :
# 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 :
