def plot_distribution()

in trend_getter/scenarios.py [0:0]

• 32 lines of code
• 1 McCabe index (conditional complexity)

    def plot_distribution(self):
        fig = px.line(
            x=self.cdf_x + [1],
            y=self.cdf_y + [1],
            template="plotly_white",
            title=f'{self.name}<br><sup>"Y% of scenarios have X% or lower subpopulation DAU decrease"</sup>',
        )
        fig.add_trace(
            go.Scatter(
                x=self.cdf_x + [1], y=self.cdf_y + [1], mode="markers", showlegend=False
            )
        )
        fig.update_traces(
            line=dict(color="black", width=3), marker=dict(size=10, color="black")
        )
        fig.update_layout(
            autosize=False,
            xaxis=dict(
                tickformat=".0%",
                tickangle=0,
                title="Subpopulation DAU Decrease",
                tickmode="array",
                tickvals=self.cdf_x + [1],
            ),
            yaxis=dict(
                tickformat=".1%",
                title="Cumulative Probability",
                tickmode="array",
                tickvals=self.cdf_y + [1],
            ),
        )
        fig.show()