tseda.visualization.autocorrelation_vis module

ACF/PACF plotting helpers for quick correlation diagnostics.

class tseda.visualization.autocorrelation_vis.ACFPlotter(series: pandas.Series, title: str = 'PACF Plot', lags: int = 10)[source]

Bases: object

Generate autocorrelation and partial autocorrelation plots.

Prepare plotting data and PACF cache containers.

Parameters:

  • series – Input numeric series.

  • title – Reserved title argument for compatibility.

  • lags – Number of lags used in ACF/PACF visualizations.

__init__(series: pandas.Series, title: str = 'PACF Plot', lags: int = 10) → None[source]

Prepare plotting data and PACF cache containers.

Parameters:

  • series – Input numeric series.

  • title – Reserved title argument for compatibility.

  • lags – Number of lags used in ACF/PACF visualizations.

calc_PACF() → ModuleType[source]

Plot and cache partial autocorrelation values.

Returns:

The matplotlib.pyplot module (legacy behavior).

calc_ACF() → ModuleType[source]

Plot autocorrelation values.

Returns:

The matplotlib.pyplot module (legacy behavior).