scipy stats.skewtest () function | python

Its formula is —

Parameters:
array: Input array or object having the elements.
axis: Axis along which the skewness test is to be computed. By default axis = 0.

Returns: Z-score (Statistics value) and P-value for the hypothesis test on data set.

Code # 1:

# Doing obliquely

from scipy.stats import skewtest

import numpy as np

import pylab as p

x1 = np.linspace ( - 5 , 5 , 1000 ) < / code>

   y1   =   1.   /   (np.sqrt (  2.   *   np.pi))   *   np.exp (  -  .   5   *   (x1)   *   *   2  ) 
   
   p.plot (x1, y1,   `*`  )   
  
   
   print   ( ` Skewness test for given data: ` , skewtest (y1))

Output:

Skewness test for given data: SkewtestResult (statistic = 11.874007880556805, pvalue = 1.6153913086650964e-32)

Code # 2:

# Doing obliquely from scipy.stats import skewtest import numpy as np import pylab as p x1 = np.linspace ( - 5 , 12 , 1000 ) y1 = 1. / (np.sqrt ( 2. * np.pi)) * np.exp ( - . 5 * (x1) * * 2 ) p.plot (x1, y1, `.` ) print ( `Skewness for data:` , skewtest (y1))

Exit:

Skewness for data: SkewtestResult (statistic = 16.957642860709516, pvalue = 1.689888374767126e-64)

scipy stats.skewtest () function | python

Books for developers

Big Data and the Internet of Things

Big Data Analytics Made Easy

Black Hat Python

Programming with Python

Submit new EBook