如何在Pandas DataFrame中使用带条件的groupby和cumcount

import pandas as pd

data = {'Group': ['A', 'A', 'B', 'B', 'B', 'C', 'C'],
        'Value': [1, 2, 3, 4, 5, 6, 7]}
df = pd.DataFrame(data)

grouped = df.groupby((df['Value'] > 3).cumsum())

df['Count'] = grouped.cumcount()

import pandas as pd

data = {'Group': ['A', 'A', 'B', 'B', 'B', 'C', 'C'],
        'Value': [1, 2, 3, 4, 5, 6, 7]}
df = pd.DataFrame(data)

grouped = df.groupby((df['Value'] > 3).cumsum())
df['Count'] = grouped.cumcount()

print(df)

  Group  Value  Count
0     A      1      0
1     A      2      0
2     B      3      0
3     B      4      0
4     B      5      1
5     C      6      0
6     C      7      1