def plot_paired_ttests()

in src/alpaca_eval/plotting.py [0:0]

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

def plot_paired_ttests(df):
    df_ttest = _get_ttest_df(df)
    fig, ax = plt.subplots(nrows=1, ncols=1, figsize=(10, 15))
    with plot_config(font_scale=0.4):
        g = sns.heatmap(
            df_ttest.astype(float),
            annot=True,
            fmt=".2f",
            cbar=False,
            square=True,
            xticklabels=False,
            ax=ax,
            mask=np.triu(np.ones_like(df_ttest, dtype=bool)),
            cmap=sns.color_palette("rocket", as_cmap=True),
        )
        g.set(xlabel="", ylabel="")
    plt.show()
    return g