422881afa09ccd1e5a19ae31a38638e04d6eae7d,plot_localizer_simple_analysis.py,,,#,23

Before Change

// Plot Anova p-values
plt.figure(figsize=(5.5, 5.5))
masked_pvals = np.ma.masked_less(neg_log_pvals_anova_unmasked.get_data(), vmin)
plt.imshow(np.rot90(nifti_masker.mask_img_.get_data()[:, :, picked_slice]),
           interpolation="nearest", cmap=plt.cm.gray)
im = plt.imshow(np.rot90(masked_pvals[:, :, picked_slice]),
                interpolation="nearest", cmap=plt.cm.autumn,
                vmin=vmin, vmax=vmax)
plt.axis("off")

After Change

threshold = - np.log10(0.1)  // 10% corrected

// Plot Anova p-values
fig = plt.figure(figsize=(5, 6), facecolor="w")
display = plot_stat_map(neg_log_pvals_anova_unmasked,
                        cmap=plt.cm.autumn, threshold=threshold,
                        display_mode="z", cut_coords=[z_slice],

Instances