第一个数据框（df 1）具有父类别、子类别和时间戳列。第二个数据框（df 2）具有每个父类别和子类别的时间戳的最小值和最大值。
我希望以这样的方式过滤df 1中的时间戳：对于每个父子类别，只保留df 2指定的最小和最大边界（包括边界）内的时间戳。
对于reprex，以下是从较大样本中提取的两个 Dataframe 的子集：

import pandas as pd

data_df1 = [[2, 9, "2023-01-10 15:03:24.100"],
            [2, 9, "2023-01-10 15:03:30.500"],
            [2, 9, "2023-01-10 15:05:20.300"],
            [2, 9, "2023-01-10 15:05:59.600"],
            [2, 10, "2023-01-10 15:03:24.100"],
            [2, 10, "2023-01-10 15:03:30.500"],
            [2, 11, "2023-01-10 15:03:40.300"],
            [2, 11, "2023-01-10 15:04:42.600"],
            [2, 11, "2023-01-10 15:05:54.600"],
            [3, 9, "2023-01-10 15:05:54.100"],
            [3, 9, "2023-01-10 15:06:30.500"],
            [3, 9, "2023-01-10 15:07:20.300"],
            [3, 9, "2023-01-10 15:08:59.600"],
            [3, 10, "2023-01-10 15:05:55.200"],
            [3, 10, "2023-01-10 15:06:01.500"],
            [3, 10, "2023-01-10 15:06:10.300"],
            [3, 11, "2023-01-10 15:05:59.600"],
            [3, 11, "2023-01-10 15:06:05.600"],
            [3, 11, "2023-01-10 15:06:06.900"]]

data_df2 = [[2, 9, "2023-01-10 15:03:25.600", "2023-01-10 15:05:53.600"],
            [2, 10, "2023-01-10 15:03:24.200", "2023-01-10 15:03:34.500"],
            [2, 11, "2023-01-10 15:03:41.900", "2023-01-10 15:05:53.900"],
            [3, 9, "2023-01-10 15:05:55.400", "2023-01-10 15:08:23.200"],
            [3, 10, "2023-01-10 15:05:55.200", "2023-01-10 15:06:03.100"],
            [3, 11, "2023-01-10 15:05:56.000", "2023-01-10 15:06:06.000"]]

df1 = pd.DataFrame(data_df1, columns = ['Parent_Cat', 'Child_Cat', 'TimeStamp'])
df2 = pd.DataFrame(data_df2, columns = ['Parent_Cat', 'Child_Cat', 'Tmin', 'Tmax'])

因此，对于上述数据集，0-18行索引中的df 1应保留以下内容：第1、2、5、7、10、11、13、14、16和17条。