打印（df）
A B
0 10
1 30
2 50
3 20
4 10
5 30
A B
0 10
1 30
A B
2 50
A B
3 20
4 10
5 30
你可以使用pd.cut https://pandas.pydata.org/pandas-docs/version/0.23.4/generated/pandas.cut.htmlB 列的累积和：
th = 50
# find the cumulative sum of B
cumsum = df.B.cumsum()
# create the bins with spacing of th (threshold)
bins = list(range(0, cumsum.max() + 1, th))
# group by (split by) the bins
groups = pd.cut(cumsum, bins)
for key, group in df.groupby(groups):
print(group)
print()
Output
A B
0 0 10
1 1 30
A B
2 2 50
A B
3 3 20
4 4 10
5 5 30
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