2e586562a72a57eaad539f7c2346ff0ee2df3389,cnvlib/segmentation/__init__.py,,do_segmentation,#Any#Any#Any#Any#Any#Any#Any#Any#Any#,25

Before Change

                                   for _, ca in cnarr.by_chromosome())))
    if save_dataframe:
        rstr = [_to_str(rets[0][1])]
        for ret in rets[1:]:
            r = _to_str(ret[1])
            rstr.append(r[r.index("\n") + 1:])
        rets = [ret[0] for ret in rets]

    data = pd.concat([r.data for r in rets])
    meta = rets[0].meta

After Change

        // rets is a list of (CNA, R dataframe string) -- unpack
        rets, r_dframe_strings = zip(*rets)
        // Strip the header line from all but the first dataframe, then combine
        r_dframe_strings = map(_to_str, r_dframe_strings)
        rstr = [next(r_dframe_strings)]
        rstr.extend(r[r.index("\n") + 1:] for r in r_dframe_strings)

    cna = cnarr.concat(rets)

Instances