def _plot_update_evoked_topomap(params, bools):
    projs = [proj for ii, proj in enumerate(params['projs'])
             if ii in np.where(bools)[0]]

    params['proj_bools'] = bools
    new_evoked = params['evoked'].copy()
    new_evoked.info['projs'] = []
    new_evoked.add_proj(projs)
    new_evoked.apply_proj()

    data = new_evoked.data[np.ix_(params['picks'],
                                  params['time_idx'])] * params['scale']
    if params['merge_grads']:
        from ..channels.layout import _merge_grad_data
        data = _merge_grad_data(data)
    image_mask = params['image_mask']

    pos_x, pos_y = np.asarray(params['pos'])[:, :2].T

    xi = np.linspace(pos_x.min(), pos_x.max(), params['res'])
    yi = np.linspace(pos_y.min(), pos_y.max(), params['res'])
    Xi, Yi = np.meshgrid(xi, yi)
    for ii, im in enumerate(params['images']):
        Zi = _griddata(pos_x, pos_y, data[:, ii], Xi, Yi)
        Zi[~image_mask] = np.nan
        im.set_data(Zi)
    for cont in params['contours']:
        cont.set_array(np.c_[Xi, Yi, Zi])

    params['fig'].canvas.draw()
Helper to update topomaps
dataset/ETHPy150Open mne-tools/mne-python/mne/viz/topomap.py/_plot_update_evoked_topomap