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# statsmodels.medcouple() in Python

• Last Updated : 22 Apr, 2020

With the help of `statsmodels.medcouple()` method, we can calculate the medcouple robust measure of skew.

Syntax : `statsmodels.medcouple(array, axis)`
Return : Return the medcouple statistic value.

Example #1 :
In this example we can see that by using `statsmodels.medcouple()` method, we are able to get the value of medcouple statistic by using this method.

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

Output :

0.2857142857142857

Example #2 :

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

Output :

-0.5555555555555556

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