plot_frontier

report.plot_frontier(source, *, effect=None, ax=None)

Mean cost vs mean effect per intervention with the efficiency frontier.

Frontier interventions are connected; dominated (D) and extendedly dominated (ED) interventions are shown hollow and annotated.

Example

import pandas as pd from heormodel.report import plot_frontier means = pd.DataFrame( … {“cost”: [0.0, 100.0], “effect”: [0.0, 1.0]}, index=[“A”, “B”]) ax = plot_frontier(means) ax.get_ylabel() ‘Mean cost’