sup_figure_7.py 文件源码

python
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项目:Waskom_PNAS_2017 作者: WagnerLabPapers 项目源码 文件源码
def plot_time_corrs(subjects, axes):

    x = np.arange(1, 5)
    palette = [".2", ".5"]

    for subj, ax in zip(subjects, axes):

        res_fname = "correlation_analysis/{}_rest_ifs.pkz".format(subj)
        res = moss.load_pkl(res_fname)

        for line, color in zip(res.corr_times.T, palette):
            ax.plot(x, line, "o-", color=color, ms=3, clip_on=False)

        sig = res.corr_times_pctiles > 95
        ax.plot(x[sig], np.ones(sig.sum()) * .0025,
                marker=(6, 2, 0), ls="", mew=.35, mec=".2", ms=3)

        ax.set(xticks=x, xlim=(.6, 4.4), ylim=(0, .07))
        sns.despine(ax=ax, trim=True)

    plt.setp(axes[1:], yticklabels=[])
    axes[0].set_ylabel("Correlation (r)")
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