optuna · nabenabe0928 · Oct 17, 2025 · Oct 17, 2025
diff --git a/package/visualization/plot_empirical_attainment_surface/README.md b/package/visualization/plot_empirical_attainment_surface/README.md
@@ -17,6 +17,8 @@ This package provides empirical attainment surface implementation based on [the
 
 The details of empirical attainment surface are available in [`Python Tool for Visualizing Variability of Pareto Fronts over Multiple Runs`](https://arxiv.org/abs/2305.08852).
 
+![Empirical Attainment Surface](images/demo.png)
+
 ## APIs
 
 - `plot_empirical_attainment_surface(study_list: list[optuna.Study], attainment_ratios: list[int], ax: plt.Axes | None = None, color: str | None = None, label: str | None = None, linestyle: str | None = None, marker: str | None = None, log_scale_inds: list[int] | None = None, **ax_plot_kwargs)`

diff --git a/package/visualization/plot_empirical_attainment_surface/images/demo.png b/package/visualization/plot_empirical_attainment_surface/images/demo.png
-Original file line number
+Diff line change
@@ Expand Up @@
     The details of empirical attainment surface are available in [`Python Tool for Visualizing Variability of Pareto Fronts over Multiple Runs`](https://arxiv.org/abs/2305.08852).
+    ![Empirical Attainment Surface](images/demo.png)
     ## APIs
     - `plot_empirical_attainment_surface(study_list: list[optuna.Study], attainment_ratios: list[int], ax: plt.Axes | None = None, color: str | None = None, label: str | None = None, linestyle: str | None = None, marker: str | None = None, log_scale_inds: list[int] | None = None, **ax_plot_kwargs)`
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