yohou.plotting¶

Interactive time series visualization functions using Plotly. All plotting functions support panel data via the groups parameter.

User guide: See the Visualization section for further details.

Exploration¶

Name	Description
`plot_time_series`	Plot basic line plots for one or more time series.
`plot_rolling_statistics`	Plot rolling window statistics (mean, std, min, max, median, quantiles).
`plot_missing_data`	Visualize missing data patterns over time.
`plot_seasonality`	Plot seasonal overlay.
`plot_subseasonality`	Plot seasonal subseries.
`plot_lag_scatter`	Plot scatter plots of y(t) vs y(t-lag) for analysing temporal dependencies.
`plot_autocorrelation`	Plot autocorrelation function (ACF) for time series.
`plot_partial_autocorrelation`	Plot partial autocorrelation function (PACF) for time series.
`plot_cross_correlation`	Plot cross-correlation function (CCF) between two time series.
`plot_correlation_heatmap`	Plot correlation matrix heatmap for multiple time series.
`plot_scatter_matrix`	Plot an N×N scatter-plot matrix.

Name	Description
`plot_decomposition`	Plot time series decomposition as vertically stacked subplots.
`plot_residuals`	Plot diagnostic plots for model residuals.
`plot_boxplot`	Plot boxplots grouped by time periods.
`plot_calibration`	Plot prediction interval calibration.
`plot_time_weight`	Plot time-based weights as a time series visualization.

Name	Description
`plot_splits`	Plot cross-validation splits as a timeline visualization.
`plot_cv_results_scatter`	Plot hyperparameter search results as a scatter plot.
`plot_forecast`	Plot forecasts with historical data and optional prediction intervals.
`plot_score_time_series`	Plot scorer values over time for one or more forecasts.
`plot_score_distribution`	Plot the distribution of per-timestep scorer values.
`plot_score_per_step`	Plot scorer value by forecast horizon step.
`plot_score_per_vintage`	Plot scores across forecast vintages.
`plot_score_summary`	Grouped bar chart comparing aggregate scores across models and scorers.
`plot_score_heatmap`	Plot a 2D heatmap of scores across two forecast dimensions.
`plot_group_scores`	Plot scores broken down by panel group.

Name	Description
`plot_spectrum`	Plot periodogram (power spectral density) for frequency domain analysis.
`plot_phase`	Plot the phase of a time series.

Name	Description
`apply_default_layout`	Apply default layout configuration to a figure.
`get_color_sequence`	Get color sequence for plotting multiple series.
`palette_yohou`	Return the yohou color palette.
`resolve_color_palette`	Resolve a user-provided color palette or fall back to the default.
`facet_figure`	Create a faceted subplot figure for panel data.
`resolve_panel_columns`	Resolve which panel columns to plot.