fd633602af08b199d87d222a8cfb85acea17b55a,optuna/visualization.py,,_get_intermediate_plot,#Any#,52

Before Change

    except Exception:  // empty study
        return go.Figure(data=[], layout=layout)

    if "intermediate_values" not in df:
        return go.Figure(data=[], layout=layout)

    target_state = [TrialState.PRUNED, TrialState.COMPLETE, TrialState.RUNNING]
    dst_df = df[df["state"].isin(target_state)]
    dst_df = dst_df[dst_df["intermediate_values"].isnull().all(axis=1) == False]
    traces = []
    for __, row in dst_df.iterrows():
        trace = go.Scatter(

After Change

    for trial in trials:
        trace = go.Scatter(
            x=tuple(trial.intermediate_values.keys()),
            y=tuple(trial.intermediate_values.values()),
            mode="lines+markers",
            marker={
                "maxdisplayed": 10

Instances