distribution_plot

distribution_plot(ts: TSDataset, n_segments: int = 10, segments: Optional[List[str]] = None, shift: int = 30, window: int = 30, freq: str = '1M', n_rows: int = 10, figsize: Tuple[int, int] = (10, 5))

Distribution of z-values grouped by segments and time frequency.

Mean is calculated by the windows:

\[mean_{i} = \sum_{j=i-\text{shift}}^{i-\text{shift}+\text{window}} \frac{x_{j}}{\text{window}}\]

The same is applied to standard deviation.

Parameters

• ts (TSDataset) – dataset with timeseries data

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

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

• shift (int) – number of timeseries shifts for statistics calc

• window (int) – number of points for statistics calc

• freq (str) – group for z-values

• n_rows (int) – maximum number of rows to plot

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