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numpy.random.noncentral_chisquare() in Python

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  • Last Updated : 15 Jul, 2020
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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 :


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