How to Generate Random Samples from a noncentral F Distribution
To generate random samples from a noncentral F distribution we use the random.noncentral_f() method of NumPy library.
We have explained the method in the example below by plotting histogram using Matplot library.
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:
NumPy random.noncentral_f() | Get Random Samples from noncentral F distribution
The NumPy random.noncentral_f() method returns the random samples from the noncentral F distribution.
Example
Python3
import numpy as np import matplotlib.pyplot as plt gfg = np.random.noncentral_f(1.24, 21, 3, 1000) count, bins, ignored = plt.hist(gfg, 50, density = True) plt.show() |
Output: