c55c07ac94dcaff834f940d8a3a4df372f354121,nilearn/plotting/img_plotting.py,,_crop_colorbar,#,208

Before Change

        cbar_vmin = cbar_tick_locs.min()
    new_tick_locs = np.linspace(cbar_vmin, cbar_vmax,
                                len(cbar_tick_locs))
    cbar.ax.set_ylim(cbar.norm(cbar_vmin), cbar.norm(cbar_vmax))
    outline = cbar.outline.get_xy()
    outline[:2, 1] += cbar.norm(cbar_vmin)
    outline[2:6, 1] -= (1. - cbar.norm(cbar_vmax))
    outline[6:, 1] += cbar.norm(cbar_vmin)

After Change

    // matplotlib >= 3.2.0 no longer normalizes axes between 0 and 1
    // See https://matplotlib.org/3.2.1/api/prev_api_changes/api_changes_3.2.0.html
    if LooseVersion(matplotlib.__version__) >= LooseVersion("3.2.0"):
        cbar.ax.set_ylim(cbar_vmin, cbar_vmax)
        X, _ = cbar._mesh()
        new_X = np.array([X[0], X[-1]])
        new_Y = np.array([[cbar_vmin, cbar_vmin], [cbar_vmax, cbar_vmax]])
        xy = cbar._outline(new_X, new_Y)
        cbar.outline.set_xy(xy)
    else:
        cbar.ax.set_ylim(cbar.norm(cbar_vmin), cbar.norm(cbar_vmax))
        outline = cbar.outline.get_xy()
        outline[:2, 1] += cbar.norm(cbar_vmin)
        outline[2:6, 1] -= (1. - cbar.norm(cbar_vmax))
        outline[6:, 1] += cbar.norm(cbar_vmin)
        cbar.outline.set_xy(outline)

    cbar.set_ticks(new_tick_locs, update_ticks=True)


def plot_img(img, cut_coords=None, output_file=None, display_mode="ortho",

Instances