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1.6 KiB
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title, description, keywords
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| acf | This page provides a detailed description and source code of acf - an OpenBB function used to plot Auto and Partial Auto Correlation of returns and change in returns. One can understand how to use the function, its parameters, and view examples of its use. |
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import HeadTitle from '@site/src/components/General/HeadTitle.tsx';
Plots Auto and Partial Auto Correlation of returns and change in returns
Source Code: [link]
openbb.qa.acf(data: pd.DataFrame, target: str, symbol: str = "", lags: int = 15, external_axes: Optional[List[matplotlib.axes._axes.Axes]] = None)
Parameters
| Name | Type | Description | Default | Optional |
|---|---|---|---|---|
| data | pd.DataFrame | Dataframe to look at | None | False |
| target | str | Data column to look at | None | False |
| symbol | str | Name of dataset | True | |
| lags | int | Max number of lags to look at | 15 | True |
| external_axes | Optional[List[plt.Axes]] | External axes (4 axes are expected in the list), by default None | None | True |
Returns
This function does not return anything
Examples
from openbb_terminal.sdk import openbb
df = openbb.stocks.load("AAPL")
openbb.qa.acf(data=df, target="Adj Close")