def format_result_tables()

in parse.py [0:0]

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

def format_result_tables(df, run_groups, do_anova=False):
    if do_anova:
        df = anova_test(df, run_groups, "min_acc_te")
    df = df.reset_index()

    if not args.full:
        df = df[["dataset", "method", "Groups", "#HP", "min_acc_te", "time"]]

    df = df.rename(
        columns={"min_acc_te": "Worst Acc", "time": "Time (h)", "method": "Method"}
    )
    multip = 100 if args.col_to_show == "Worst Acc" else 1
    avg_accs_per_method = (
        (multip * df.groupby("Method").mean()[(args.col_to_show, "mean")])
        .map("{:.1f}".format)
        .reset_index(name="Average")
    )
    if args.bold:
        bold = {
            "best_metric": args.col_to_show,
            "order": False if "acc" in args.col_to_show.lower() else True,
            "best_metric_group": ["dataset", "Groups"],
        }
    else:
        bold = False
    term_df = convert_df_to_readable_format(df, bold, latex=False)
    term_df = reorganize_df(term_df, col_to_show=args.col_to_show)
    term_df = term_df.merge(avg_accs_per_method, on="Method", how="left")
    print(term_df)

    latex_df = convert_df_to_readable_format(df, bold, latex=True)
    latex_df = reorganize_df(latex_df, col_to_show=args.col_to_show)
    latex_df = latex_df.merge(avg_accs_per_method, on="Method", how="left")

    os.makedirs("tables", exist_ok=True)
    open(
        f'tables/result_{args.col_to_show.replace(" ", "_").replace("(","").replace(")","").lower()}_1.tex',
        "w",
    ).write(final_latex_table(latex_df, df, do_anova, args.col_to_show))