scipy stats.skew() | Python

scipy.stats.skew(array, axis=0, bias=True) function calculates the skewness of the data set.

skewness = 0 : normally distributed.
skewness > 0 : more weight in the left tail of the distribution.
skewness < 0 : more weight in the right tail of the distribution. 

Its formula - 👁 Image

Parameters : array : Input array or object having the elements. axis : Axis along which the skewness value is to be measured. By default axis = 0. bias : Bool; calculations are corrected for statistical bias, if set to False. Returns : Skewness value of the data set, along the axis.

Code #1: Output :

👁 Image


Skewness for data : 1.1108237139164436

  Code #2: Output :

👁 Image


Skewness for data : 1.917677776148478

  Code #3: On Random data

Output :

X : 
 [ 0.03255323 -6.18574775 -0.58430139 ... 3.22112446 1.16543279
 0.84083317]

Skewness for data : 0.03248837584866293