OpenBB/website/content/sdk/reference/qa/quantile.md

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quantile	This page provides documentation and source code for OpenBB's Quantile function. It includes info about parameters, return types, and how to generate and plot rolling quantile data using Python.	Docusaurus Quantile Source Code Quantitative Analysis Plotting Data Rolling Quantile Python DataFrame

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Overlay Median & Quantile

Source Code: [link]

openbb.qa.quantile(data: pd.DataFrame, window: int = 14, quantile_pct: float = 0.5)

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Parameters

Name	Type	Description	Default	Optional
data	pd.DataFrame	Dataframe of targeted data	None	False
window	int	Length of window	14	True
quantile_pct	float	Quantile to display	0.5	True

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Returns

Type	Description
Tuple[pd.DataFrame, pd.DataFrame]	Dataframe of rolling median prices over window, Dataframe of rolling quantile prices over window

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Plots rolling quantile

Source Code: [link]

openbb.qa.quantile_chart(data: pd.DataFrame, target: str, symbol: str = "", window: int = 14, quantile: float = 0.5, export: str = "", external_axes: Optional[List[matplotlib.axes._axes.Axes]] = None)

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Parameters

Name	Type	Description	Default	Optional
data	pd.DataFrame	Dataframe	None	False
target	str	Column in data to look at	None	False
symbol	str	Stock ticker		True
window	int	Length of window	14	True
quantile	float	Quantile to get	0.5	True
export	str	Format to export data		True
external_axes	Optional[List[plt.Axes]]	External axes (1 axis is expected in the list), by default None	None	True

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Returns

This function does not return anything

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