def pick_channels_cov(orig, include=[], exclude='bads'):
    exclude = orig['bads'] if exclude == 'bads' else exclude
    sel = pick_channels(orig['names'], include=include, exclude=exclude)
    res = deepcopy(orig)
    res['dim'] = len(sel)
    if not res['diag']:
        res['data'] = orig['data'][sel][:, sel]
    else:
        res['data'] = orig['data'][sel]
    res['names'] = [orig['names'][k] for k in sel]
    res['bads'] = [name for name in orig['bads'] if name in res['names']]
    res['eig'] = None
    res['eigvec'] = None
    return res
Pick channels from covariance matrix
dataset/ETHPy150Open mne-tools/mne-python/mne/io/pick.py/pick_channels_cov