scipy stats.skew () | python

Michael Zippo 18.07.2021

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

  skewness = 0:  normally distributed.  skewness & gt; 0:  more weight in the left tail of the distribution.  skewness & lt; 0:  more weight in the right tail of the distribution.

Its formula is —

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:

# Graph using numpy.linspace ()
# Finding asymmetry

from scipy.stats import skew

import numpy as np

import pylab as p

x1 = np.linspace ( - 5 , 5 , 1000 )

y1 = 1. / (np.sqrt ( 2. * np.pi)) * np.exp ( - . 5 * (x1) * * 2 )

p.plot (x1, y1, ’ * ’ )

print ( ’ Skewness for data: ’ , skew (y1))

Output:

    
 Skewness for data: 1.1108237139164436

Code # 2:

# Graph using numpy.linspace ()
# Finding asymmetry

from scipy.stats import skew

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:’ , skew (y1))

Output:

    
 Skewness for data: 1.917677776148478

Code # 3: Based on random data

       # Find asymmetry   
 
   from   scipy.stats   import   skew 
   import   numpy as np 
  
  # random values ‚Äã‚Äãbased on on normal distribution  
   x   =   np. random.normal (  0  ,   2  ,   10000  ) 
  
   print   ( " X: " , x) 
  
   print   (  ’Skewness for data:’  , skew (x))

Output:

 X: [ 0.03255323 -6.18574775 -0.58430139 ... 3.22112446 1.16543279 0.84083317] Skewness for data: 0.03248837584866293

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Ken Robinson

Abu Dhabi | 2023-02-02

Simply put and clear. Thank you for sharing. scipy stats.skew () | python and other issues with exp was always my weak point 😁. I just hope that will not emerge anymore

Javier Galleotti

Paris | 2023-02-02

Thanks for explaining! I was stuck with scipy stats.skew () | python for some hours, finally got it done 🤗. I am just not quite sure it is the best method

Boris Gonzalez

New York | 2023-02-02

Simply put and clear. Thank you for sharing. scipy stats.skew () | python and other issues with os Python module was always my weak point 😁. Will use it in my bachelor thesis