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.
# 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 :
# 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
Contact Us