plots

Plotting components for generating visualizations from evaluation data.

This package provides specialized plotters for different types of analysis visualizations, including time series, metrics, and statistical plots.

Submodules

openstef_beam.analysis.plots.forecast_time_series_plotter	Time series plotting for forecast data visualization.
openstef_beam.analysis.plots.grouped_target_metric_plotter	Plotting utilities for grouped target metrics visualization.
openstef_beam.analysis.plots.precision_recall_curve_plotter	Precision-recall curve plotting for model performance evaluation.
openstef_beam.analysis.plots.quantile_calibration_box_plotter	Quantile calibration box plotting for forecast uncertainty validation across multiple targets.
openstef_beam.analysis.plots.quantile_probability_plotter	Probability calibration plotting for forecast uncertainty validation.
openstef_beam.analysis.plots.summary_table_plotter	Summary table generation for evaluation metrics display.
openstef_beam.analysis.plots.windowed_metric_plotter	Windowed metric plotting for time-based performance analysis.

Classes

ForecastTimeSeriesPlotter(**data)	Creates interactive time series charts comparing forecasts, measurements, and uncertainty bands.
GroupedTargetMetricPlotter()	Creates bar charts and box plots comparing model metrics across multiple targets.
PrecisionRecallCurvePlotter()	Creates precision-recall curves for model performance across quantiles.
QuantileCalibrationBoxPlotter()	Creates boxplots showing calibration error distributions across targets for each quantile.
QuantileProbabilityPlotter()	Creates calibration plots comparing forecasted vs observed probabilities.
SummaryTablePlotter(data)	Creates formatted HTML tables from evaluation metrics data.
WindowedMetricPlotter()	Creates time series plots of performance metrics using windowed analysis.