Files
OpenBB/website/content/platform/reference/quantitative/skewness.md
James Maslek dce447b423 install v4 (#5766)
* install v4

* add run on pr

* this seems sus

* thnx juan

* flip

* thnx juan

* idk

* Update index.js

* Update Root.tsx

* Update index.js

* try again

* fix front matter

* fix description front matter

* Revert "fix description front matter"

This reverts commit cccc7b2469.

* try to fix this mickey

* fixed all that mickey @DidierRLopes broke

* Update index.js

* generate platform fix

* black fix

---------

Co-authored-by: DidierRLopes <dro.lopes@campus.fct.unl.pt>
Co-authored-by: tehcoderer <me@tehcoderer.com>
Co-authored-by: andrewkenreich <andrew.kenreich@gmail.com>
2023-11-21 06:38:50 +00:00

974 B
Vendored

title, description, keywords
title description keywords
skewness Learn how to calculate skewness using the 'Get Skewness' function. This Python function is used to calculate the skewness of time series data. Understand the parameters such as data, target column, and window size, and the return type of the function. Perform data analysis with this powerful function.
skewness
get skewness
time series data
target column
window size
function parameters
return type
Python
data analysis

import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem';

Get Skewness.

Parameters

data : List[Data] Time series data. target : str Target column name. window : PositiveInt Window size.

Returns

OBBject[List[Data]] Skewness.



Parameters

This function does not take standardized parameters.


Returns

This function does not return a standardized model