statsmodels.robust_skewness() in python

With the help of statsmodels.robust_skewness() method, we can calculate the four skewness measures in Kim & White.

Syntax : statsmodels.robust_skewness(array, axis) Return : Return the four skewness measures value.

Example #1 : In this example we can see that by using statsmodels.robust_skewness() method, we are able to get the value of the four skewness measure by using this method.

Python3 1=1

# import numpy and statsmodels
import numpy as np
from statsmodels.stats.stattools import robust_skewness
 
g = np.array([1, 2, 3, 4, 7, 8])
# Using statsmodels.robust_skewness() method
gfg = medcouple(g)
 
print(gfg)

Output :

0.2857142857142857

Example #2 :

Python3 1=1

# import numpy and statsmodels
import numpy as np
from statsmodels.stats.stattools import robust_skewness
 
g = np.array([1, 2, 8, 9, 10])
# Using statsmodels.robust_skewness() method
gfg = medcouple(g)
 
print(gfg)

Output :

-0.5555555555555556

statsmodels.robust_skewness() in python

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