src.plot.simple_curve_plot

Classes

SimpleCurvePlot(**kwargs)

class src.plot.simple_curve_plot.SimpleCurvePlot(**kwargs)
Author:

Alberto M. Esmoris Pena

Class to plot the figures associated with a SimpleCurveEvaluation. Two figures are produced:

  1. A KPI summary bar chart showing Coverage, Deviation (length-anchored over the polyline 3D arc), Hallucination, count of hallucinated features, Self-intersections and Gaps.

  2. A per-feature hallucination histogram with a vertical line at the configured per-feature threshold.

See MplPlot and SimpleCurveEvaluation.

Variables:

  • coverage_pct – Coverage percentage.

  • deviation_pct – Deviation percentage (length-anchored over the polyline 3D arc).

  • hallucination_pct – Length-weighted hallucination percentage.

  • n_hallucinated_features – Count of features whose per-feature score exceeds the configured threshold.

  • n_features_scored – Total number of scored features.

  • per_feature_hallucination – List of tuples (fi, score, hall_len, feat_len) per feature.

  • n_self_intersections – Total 2D self-intersections.

  • n_gaps – Total 2D gaps.

  • hallucination_feature_threshold – Threshold drawn as a reference line in the histogram.

  • summary_path – Path for the KPI summary figure.

  • hallucination_path – Path for the per-feature hallucination histogram.

__init__(**kwargs)

Initialize the SimpleCurvePlot.

Parameters:

kwargs – The plot attributes.

plot(**kwargs)

Render the figures for which a path is set. See Plot.plot().

has_kpi_info()
Returns:

True when at least the percentage KPIs are available.

Return type:

bool

has_hallucination_info()
Returns:

True when the per-feature hallucination data is available.

Return type:

bool