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---------

Co-authored-by: jose-donato <zmcdonato@gmail.com>
Co-authored-by: jose-donato <43375532+jose-donato@users.noreply.github.com>
Co-authored-by: andrewkenreich <andrew.kenreich@gmail.com>
2023-10-30 21:01:29 +00:00

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title, description, keywords
title description keywords
clean This documentation details how to use OpenBBTerminal's 'clean' function to clean up NaNs in a pandas DataFrame. It outlines the parameters, return values, and available methods for filling and dropping NaN values.
econometrics
clean data
NaN handling
machine learning
dataset cleaning
fill method
drop method
data pre-processing

import HeadTitle from '@site/src/components/General/HeadTitle.tsx';

Clean up NaNs from the dataset

Source Code: [link]

openbb.econometrics.clean(dataset: pd.DataFrame, fill: str = "", drop: str = "", limit: Optional[int] = None)

Parameters

Name Type Description Default Optional
dataset pd.DataFrame The dataset you wish to clean None False
fill str The method of filling NaNs. Choose from:
rfill, cfill, rbfill, cbfill, rffill, cffill		 True
drop str The method of dropping NaNs. Choose from:
rdrop, cdrop		 True
limit int The maximum limit you wish to apply that can be forward or backward filled None True

Returns

Type Description
pd.DataFrame Dataframe with cleaned up data