d3d91cb4d27ff6826d755f0377b54ea999105490,plot_ica_resting_state.py,,,#,14

Before Change

// Now we inverting the masking operation, to go back to a full 3D
// representation
(x, y, z) = mean_img.shape
components = np.zeros((x, y, z, n_components))
components[mask] = components_masked

// Using a masked array is important to have transparency in the figures

After Change

// Now we inverting the masking operation, to go back to a full 3D
// representation
component_img = masker.inverse_transform(components_masked)
components = component_img.get_data()

// Using a masked array is important to have transparency in the figures
components = np.ma.masked_equal(components, 0, copy=False)

Instances