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* add first iteration of content for Terminal Pro * Update index.md * Update dashboards.md * Update folders.md * Update grouping.md * Update report.md * Update templates.md * Update quick-start.md * Update index.md * Update index.md * Update home.md * Update news.md * Update index.md * Update index.md * Update index.md * Update data-provider.md * Update chat-with-widget.md * Update data-manipulation.md * Update forecasting.md * fix: images self closing tags * fix: only pro visitors can see pro * inter font * improve SEO content and restructuring * add new package for toggle on tutorials * move folder around * improve main page of each prod * small updates and improvements * fix logo above * small improvement in headtitle for portfolio funcs * fix typos from OpenAI's GPT-4 * fix _category_ json * remove generic SEO words * add script that generates SEO for documentation * add missing file * remove sdk warning message * fix links for andrew --------- 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>
49 lines
1.4 KiB
Markdown
Vendored
49 lines
1.4 KiB
Markdown
Vendored
---
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title: clean
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description: This documentation details how to use OpenBBTerminal's 'clean' function
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to clean up NaNs in a pandas DataFrame. It outlines the parameters, return values,
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and available methods for filling and dropping NaN values.
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keywords:
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- econometrics
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- clean data
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- NaN handling
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- machine learning
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- dataset cleaning
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- fill method
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- drop method
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- data pre-processing
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---
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import HeadTitle from '@site/src/components/General/HeadTitle.tsx';
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<HeadTitle title="econometrics.clean - Reference | OpenBB SDK Docs" />
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Clean up NaNs from the dataset
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Source Code: [[link](https://github.com/OpenBB-finance/OpenBBTerminal/tree/main/openbb_terminal/econometrics/econometrics_model.py#L65)]
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```python
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openbb.econometrics.clean(dataset: pd.DataFrame, fill: str = "", drop: str = "", limit: Optional[int] = None)
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```
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---
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## Parameters
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| Name | Type | Description | Default | Optional |
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| ---- | ---- | ----------- | ------- | -------- |
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| dataset | pd.DataFrame | The dataset you wish to clean | None | False |
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| fill | str | The method of filling NaNs. Choose from:<br/>rfill, cfill, rbfill, cbfill, rffill, cffill | | True |
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| drop | str | The method of dropping NaNs. Choose from:<br/>rdrop, cdrop | | True |
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| limit | int | The maximum limit you wish to apply that can be forward or backward filled | None | True |
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---
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## Returns
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| Type | Description |
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| ---- | ----------- |
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| pd.DataFrame | Dataframe with cleaned up data |
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---
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