acf_plot(ts: TSDataset, n_segments: int = 10, lags: int = 21, partial: bool = False, columns_num: int = 2, segments: Optional[List[str]] = None, figsize: Tuple[int, int] = (10, 5))[source]

Autocorrelation and partial autocorrelation plot for multiple timeseries.


Definition of autocorrelation.

Definition of partial autocorrelation.

  • If partial=False function works with NaNs at any place of the time-series.

  • if partial=True function works only with NaNs at the edges of the time-series and fails if there are NaNs inside it.

  • ts (TSDataset) – TSDataset with timeseries data

  • n_segments (int) – number of random segments to plot

  • lags (int) – number of timeseries shifts for cross-correlation

  • partial (bool) – plot autocorrelation or partial autocorrelation

  • columns_num (int) – number of columns in subplots

  • segments (Optional[List[str]]) – segments to plot

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


ValueError: – If partial=True and there is a NaN in the middle of the time series