# scipy stats.skew () | python

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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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We hope this article has helped you to resolve the problem. Apart from scipy stats.skew () | python, check other abc Python module-related topics.

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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

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