figure_1.py 文件源码

def plot_swarms(df, axes, palette):

    for exp, ax in zip(["dots", "sticks"], axes):

        exp_df = df.query("experiment == @exp")

        ax.axhline(.5, .1, .9, dashes=(5, 2), color=".6")        
        ax.set(ylim=(.4, .9), yticks=[.4, .5, .6, .7, .8, .9])

        sns.pointplot(x="roi", y="acc", data=exp_df,
                      palette=palette, join=False, ci=None, ax=ax)
        points_to_lines(ax, lw=3)

        sns.swarmplot(x="roi", y="acc", data=exp_df, size=4,
                      color=".85", # facecolor="none",
                      linewidth=1, edgecolor=".4", ax=ax)

        ax.set(xlabel="", ylabel="", xticklabels=["IFS", "MFC"])

    ax_l, ax_r = axes
    ax_l.set(ylabel="Decoding accuracy")
    ax_r.set(yticks=[])

    ax_l.text(.5, .91, "Experiment 1", ha="center", va="center", size=7.5)
    ax_r.text(.5, .91, "Experiment 2", ha="center", va="center", size=7.5)

    sns.despine(ax=ax_l, trim=True)
    sns.despine(ax=ax_r, left=True, trim=True)