以datetime64 [ns]作为微秒精度的pandas dataFrame

Question

I have a pandas dataFrame with datetime64[ns] as Index. 我有一个以datetime64[ns]作为索引的pandas dataFrame 。 Since the data is of microsecond precision, I want to copy this date to another dataFrame with second or minute level precision so that I can easily plot/visualize it. 由于数据具有微秒级的精度，因此我想将此日期复制到具有第二或分钟级精度的另一个dataFrame ，以便我可以轻松地绘制/可视化它。 Any idea how to do this? 任何想法如何做到这一点？ Also can this be done without copying the data to another dataFrame ? 还可以在不将数据复制到另一个dataFrame情况下完成此操作吗？

                           Name  Fruit
2016-11-03 21:20:15.555222 John  Apple
2016-11-03 21:20:15.555266 John  Kiwi
2016-11-03 21:20:15.555292 Mary  Apple
2016-11-03 21:20:16.595222 Peter Apple
2016-11-03 21:20:16.599222 Peter Orange
2016-11-03 21:20:16.655222 John  Apple
2016-11-03 21:20:17.659222 John  Apple
2016-11-03 21:20:17.660222 John  Apple

After the Change i wan't :
                           Name  Fruit
2016-11-03 21:20:15.555222 John  Apple
2016-11-03 21:20:16.595222 Peter Apple
2016-11-03 21:20:17.659222 John  Apple

Answer 1

尝试重新采样并使用第二个的最后一个值。

df.resample(rule='1S').last()

以datetime64 [ns]作为微秒精度的pandas dataFrame

问题描述

1 个解决方案

解决方案1
0 已采纳 2016-12-06 13:52:34

以datetime64 [ns]作为微秒精度的pandas dataFrame

问题描述

1 个解决方案

解决方案1 0 已采纳 2016-12-06 13:52:34

解决方案1
0 已采纳 2016-12-06 13:52:34