stl_plot#

stl_plot(ts: TSDataset, period: int, segments: List[str] | None = None, columns_num: int = 2, figsize: Tuple[int, int] = (10, 10), plot_kwargs: Dict[str, Any] | None = None, stl_kwargs: Dict[str, Any] | None = None)[source]#

Plot STL decomposition for segments.

Parameters:

  • ts (TSDataset) – dataset with timeseries data

  • period (int) – length of seasonality

  • segments (List[str] | None) – segments to plot

  • columns_num (int) – number of columns in subplots

  • figsize (Tuple[int, int]) – size of the figure per subplot with one segment in inches

  • plot_kwargs (Dict[str, Any] | None) – dictionary with parameters for plotting, matplotlib.axes.Axes.plot() is used

  • stl_kwargs (Dict[str, Any] | None) – dictionary with parameters for STL decomposition, statsmodels.tsa.seasonal.STL is used