Question

我有两个使用pandas和列标签的数据表：。

import pandas as pd
ne = pd.DataFrame({"NE_Name": ["A", "A", "A", "D", "D", "B", "B", "B", "C", "C", "C", "C"],
                   "NE_Unit": ["A1", "A2", "A3", "D2", "D3", "B1", "B2", "B3", "C1", "C2", "C3", "C4"]})

df = pd.DataFrame({"NE_Name": ["A", "A", "A", "D", "D", "B", "B", "A", "A", "A", "A"],
                   "NE_Unit": ["A1", "A2", "A3", "D2", "D3", "B1", "B3", "A1", "A2", "A3", "A2"],
                   "Event_Time": ["2017/2/1 5:55:51",
                                  "2017/2/1 5:55:52",
                                  "2017/2/1 5:55:54",
                                  "2017/2/1 6:05:30",
                                  "2017/2/1 6:05:30",
                                  "2017/2/1 7:10:30",
                                  "2017/2/1 7:10:30",
                                  "2017/2/1 7:24:11",
                                  "2017/2/1 7:24:21",
                                  "2017/2/1 7:24:11",
                                  "2017/2/1 7:55:21"],
                   "Clear_Time": ["2017/2/1 5:58:38",
                                  "2017/2/1 5:58:48",
                                  "2017/2/1 5:58:38",
                                  "2017/2/1 7:02:06",
                                  "2017/2/1 7:02:06",
                                  "2017/2/1 7:18:36",
                                  "2017/2/1 7:18:16",
                                  "2017/2/1 7:53:37",
                                  "2017/2/1 7:53:37",
                                  "2017/2/1 7:53:37",
                                  "2017/2/1 7:59:55"]})

df

Clear_Time  Event_Time  NE_Name NE_Unit
0   2017/2/1 5:58:38    2017/2/1 5:55:51    A   A1
1   2017/2/1 5:58:48    2017/2/1 5:55:52    A   A2
2   2017/2/1 5:58:38    2017/2/1 5:55:54    A   A3
3   2017/2/1 7:02:06    2017/2/1 6:05:30    D   D2
4   2017/2/1 7:02:06    2017/2/1 6:05:30    D   D3
5   2017/2/1 7:18:36    2017/2/1 7:10:30    B   B1
6   2017/2/1 7:18:16    2017/2/1 7:10:30    B   B3
7   2017/2/1 7:53:37    2017/2/1 7:24:11    A   A1
8   2017/2/1 7:53:37    2017/2/1 7:24:21    A   A2
9   2017/2/1 7:53:37    2017/2/1 7:24:11    A   A3
10  2017/2/1 7:59:55    2017/2/1 7:55:21    A   A2

NE

NE_Name NE_Unit
0   A   A1
1   A   A2
2   A   A3
3   D   D2
4   D   D3
5   B   B1
6   B   B2
7   B   B3
8   C   C1
9   C   C2
10  C   C3
11  C   C4

我想得到这个：

Clear_Time           Event_Time     NE_Name 
2017/2/1 5:58:48    2017/2/1 5:55:54    A
2017/2/1 7:02:06    2017/2/1 6:05:30    D
2017/2/1 7:53:37    2017/2/1 7:24:21    A

我测试了很久，没解决。

我想回到NE Event_Time和Clear_Time。

我在网上搜索了很长时间。但没用。请帮助或尝试提供一些如何实现这一目标的想法。

Answer 1

我认为你只关心df

df.groupby('NE_Name')[['Clear_Time', 'Event_Time']].max().reset_index()

  NE_Name        Clear_Time        Event_Time
0       A  2017/2/1 5:58:48  2017/2/1 5:55:54
1       B  2017/2/1 7:18:36  2017/2/1 7:10:30
2       C  2017/2/1 7:53:37  2017/2/1 7:24:21
3       D  2017/2/1 7:02:06  2017/2/1 6:05:30

如何获取新的时间数据？

1 个答案: