With the help of chisquare() method, we can get chi-square distribution by using this method. Mainly we can use this distribution in hypothesis testing.
chi-square distribution
Syntax : numpy.random.chisquare(df, size=None)
Parameters :
1) df – number of degree of freedom and must be >0.
2) size – Output shape of scalar array.
Return : Return the scalar numpy array.
Example #1 :
In this example we can see that by using chisquare() method, we are able to get the chi-square distribution and return the scalar numpy array by using this method.
Python3
# import chisquare import numpy as np import matplotlib.pyplot as plt # Using chisquare() method gfg = np.random.chisquare(3, 1000) count, bins, ignored = plt.hist(gfg, 14, density = True) plt.show() |
Output :
Example #2 :
Python3
# import chisquare import numpy as np import matplotlib.pyplot as plt # Using chisquare() method gfg = np.random.chisquare(5, 10000) gfg1 = np.random.chisquare(gfg, 10000) count, bins, ignored = plt.hist(gfg1, 30, density = True) plt.show() |
Output :
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