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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>
1.2 KiB
Vendored
1.2 KiB
Vendored
title, description, keywords
| title | description | keywords | |||||||
|---|---|---|---|---|---|---|---|---|---|
| load | Documentation for the 'load' function from the OpenBB forecast library. This function permits to load a custom file into a DataFrame within Python. It covers instructions, source code, parameters, and returns. |
|
import HeadTitle from '@site/src/components/General/HeadTitle.tsx';
Load custom file into dataframe.
Source Code: [link]
openbb.forecast.load(file: str, data_files: Optional[Dict[Any, Any]] = None, data_examples: Optional[Dict[Any, Any]] = None)
Parameters
| Name | Type | Description | Default | Optional |
|---|---|---|---|---|
| file | str | Path to file | None | False |
| data_files | dict | Contains all available data files within the Export folder | None | True |
| data_examples | dict | Contains all available examples from Statsmodels | None | True |
Returns
| Type | Description |
|---|---|
| pd.DataFrame | Dataframe with custom data |