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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 The clean function in OpenBB's forecasting toolkit fills or drops NaN values on a given dataset, improving data quality.
clean function OpenBB
forecasting toolkit
data cleaning
fill NaN values
drop NaN values
dataset
data quality improvement

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

Clean up NaNs from the dataset

Source Code: [link]

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

Parameters

Name Type Description Default Optional
dataset pd.DataFrame The dataset you wish to clean None False
fill Optional[str] The method of filling NaNs None True
drop Optional[str] The method of dropping NaNs None True
limit Optional[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