def plot_corrmats(subjects, axes, exp):
for subj, ax in zip(subjects, axes):
fname = "correlation_analysis/{}_{}_ifs.pkz".format(subj, exp)
corrmat = moss.load_pkl(fname).corrmat
ax.imshow(corrmat - np.eye(len(corrmat)),
cmap="RdBu_r", vmin=-.15, vmax=.15,
rasterized=True)
ax.set(xticks=[], yticks=[])
sns.despine(ax=ax, left=True, bottom=True)
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