With the help of numpy.random.noncentral_chisquare() method, we can get the random samples of noncentral chi-square distribution and return the random samples of it by using this method.
noncentral chi-square distribution
Syntax : numpy.random.noncentral_chisquare(df, 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_chisquare() method, we are able to get the random samples of noncentral chi-square distribution and return the random samples by using this method.
Python3
# import numpy import numpy as np import matplotlib.pyplot as plt # Using noncentral_chisquare() method gfg = np.random.noncentral_chisquare(1.21, 9.89, 1000) count, bins, ignored = plt.hist(gfg, 30, density = True) plt.show() |
Output :
Example #2 :
Python3
# import numpy import numpy as np import matplotlib.pyplot as plt # Using noncentral_chisquare() method gfg = np.random.noncentral_chisquare(14.05, 3.24, 3000) count, bins, ignored = plt.hist(gfg, 14, density = True) plt.show() |
Output :
