d216af31b527389779d8a0024449b0687e501337,plot_nyu_rest_decomposition.py,,,#,5

Before Change

S = np.ma.masked_equal(S, 0, copy=False)

for i in range(n_components):
    vmax = np.max(np.abs(S[..., i]))
    plt.figure(i)
    plt.imshow(mean_img[:, :, 25], interpolation="nearest", cmap=plt.cm.gray)
    plt.imshow(S[:, :, 25, i], interpolation="nearest", cmap=plt.cm.jet,
            vmax=vmax, vmin=-vmax)

plt.show()

After Change

    vmax=vmax, vmin=-vmax)
plt.subplot(122)
plt.axis("off")
plt.title("Ventral attention network")
vmax = np.max(np.abs(S[..., 19]))
plt.imshow(mean_img[:, :, 25], interpolation="nearest", cmap=plt.cm.gray)
plt.imshow(S[:, :, 25, 19], interpolation="nearest", cmap=plt.cm.jet,
    vmax=vmax, vmin=-vmax)

Instances