etna.analysis.plot_imputation#

plot_imputation(ts: TSDataset, imputer: TimeSeriesImputerTransform, segments: List[str] | None = None, columns_num: int = 2, figsize: Tuple[int, int] = (10, 5), start: Timestamp | int | str | None = None, end: Timestamp | int | str | None = None)[source]#

Plot the result of imputation by a given imputer.

Parameters:

  • ts (TSDataset) – TSDataset with timeseries data

  • imputer (TimeSeriesImputerTransform) – transform to make imputation of NaNs

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

  • columns_num (int) – number of columns in subplots

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

  • start (Timestamp | int | str | None) – start timestamp for plot

  • end (Timestamp | int | str | None) – end timestamp for plot

Raises:

ValueError: – Incorrect type of start or end is used according to ts.freq.