Question

我有以下数据框：

               latitude  longitude       timestamp
name                                                  
testschip-1   51.822872   4.905615 2019-08-01 00:00:00
testschip-1   51.822876   4.905613 2019-08-01 00:00:57
testschip-1   51.822872   4.905613 2019-08-01 00:00:20
testschip-1   51.822880   4.905627 2019-08-01 00:00:27
testschip-1   51.822872   4.905613 2019-08-01 00:00:09
testschip-1   51.822872   4.905613 2019-08-01 00:00:39
testschip-1   51.822876   4.905613 2019-08-01 00:00:38
testschip-10  51.824749   4.965562 2019-08-01 00:00:56
testschip-10  51.827072   4.952107 2019-08-01 00:00:47
testschip-10  51.826794   4.954065 2019-08-01 00:00:19
testschip-10  51.826702   4.954648 2019-08-01 00:00:08
testschip-11  51.819588   4.962135 2019-08-01 00:00:57
testschip-11  51.819584   4.962165 2019-08-01 00:00:38
testschip-11  51.819588   4.962172 2019-08-01 00:00:08
testschip-11  51.819588   4.962122 2019-08-01 00:00:17

每个名称（在索引上）我想按层次结构对时间戳进行排序。如果我这样做：

df = df.sort_values(by='timestamp',ascending=True)

我按时间排序，但是我在索引上丢失了排序的名称。如何保留排序的索引并按时间对这些索引进行排序？

Answer 1

df = df.sort_values(by=['name', 'timestamp'], ascending=True)

by参数可以是字符串或字符串列表，请参见https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.sort_values.html

熊猫按日期时间对排序的索引进行排序

1 个答案: