如何在 Pandas 中根据上一行的值条件增加新列并累加满足条件的值？

values = [[5.5, 2.5, 10.0], [2.0, 4.5, 1.0], [2.5, 5.2, 8.0], [4.5, 5.8, 4.8], [4.6, 6.3, 9.6], [4.1, 6.4, 9.0], [5.1, 2.3, 11.1]]df = pd.dataframe(values, columns=['col1', 'col2', 'col3'],index=['a', 'b', 'c', 'd', 'e', 'f', 'g'])

df['col4'] = df.apply(lambda x: 1 if 3 < x['col1'] < 5 else 0, axis=1)

col1  col2  col3  col4a   5.5   2.5  10.0    0b   2.0   4.5   1.0    0c   2.5   5.2   8.0    0d   4.5   5.8   4.8    1e   4.6   6.3   9.6    1f   4.1   6.4   9.0    1g   5.1   2.3  11.1    0

df['col4'] = df['col4'].cumsum()

col1  col2  col3  col4a   5.5   2.5  10.0    0b   2.0   4.5   1.0    0c   2.5   5.2   8.0    0d   4.5   5.8   4.8    1e   4.6   6.3   9.6    2f   4.1   6.4   9.0    3g   5.1   2.3  11.1    3