def boxplot()

in playground/process_analysis/status_transition_graph_stats_plot.py [0:0]

• 35 lines of code
• 2 McCabe index (conditional complexity)

    def boxplot(source: StatusTransitionGraph, max_edges: int = 8) -> Figure:
        """
        Create a boxplot of status transition durations.
        """
        fig = Figure()

        most_common_edges_upto_max = sorted(
            source.graph.edges.data(),
            key=lambda edge: len(edge[2]["durations"]),
            reverse=True,
        )[:max_edges]

        edge_counts = list(map(lambda edge: len(edge[2]["durations"]), most_common_edges_upto_max))
        lowest_edge_count = min(edge_counts, default=1)
        highest_edge_count = max(edge_counts, default=1)

        edges_by_max_duration = sorted(
            most_common_edges_upto_max,
            key=lambda edge: max(edge[2]["durations"]),
            reverse=True,
        )

        for edge in edges_by_max_duration:
            durations = list(map(lambda d: round(d, 5), edge[2]["durations"]))
            color = _color_for_edge(len(durations), lowest_edge_count, highest_edge_count)
            fig.add_trace(
                Box(
                    y=durations,
                    name=f"{edge[0]} ⮕ {edge[1]} ({len(durations)}x)",
                    boxpoints="outliers",
                    boxmean=True,
                    marker_color=color,
                    line_color=color,
                )
            )

        fig.update_layout(
            title_text="Status Transition Duration Statistics",
            yaxis_title="Days",
            xaxis_title="Transitions with occurences",
            showlegend=False,
        )

        return fig