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

Before Change

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

// Various plotting parameters
z_slice = 45  // plotted slice
from nilearn.image.resampling import coord_transform
affine = neg_log_pvals_anova_unmasked.get_affine()
_, _, k_slice = coord_transform(0, 0, z_slice,
                                linalg.inv(affine))
k_slice = round(k_slice)
threshold = - np.log10(0.1)  // 10% corrected

// Plot Anova p-values

Instances