plot_anomalies(ts: TSDataset, anomaly_dict: Dict[str, List[pandas._libs.tslibs.timestamps.Timestamp]], in_column: str = 'target', segments: Optional[List[str]] = None, columns_num: int = 2, figsize: Tuple[int, int] = (10, 5))[source]

Plot a time series with indicated anomalies.

  • ts (TSDataset) – TSDataset of timeseries that was used for detect anomalies

  • anomaly_dict (Dict[str, List[pandas._libs.tslibs.timestamps.Timestamp]]) – dictionary derived from anomaly detection function, e.g. get_anomalies_density()

  • in_column (str) – column to plot

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

  • columns_num (int) – number of subplots columns

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