Question

我有以下熊猫系列数据：

print(times)

给予

1        2017-07-23T00:26:50Z
3        2017-07-31T04:07:24Z
6        2017-07-18T15:09:20Z
8        2017-07-12T05:24:14Z
...
12353    2017-07-12T18:34:48Z
12355    2017-08-01T22:27:42Z
12356    2017-07-11T03:36:44Z

我只想将这些UTC时间戳转换为秒或

from astropy.time import Time
t = pd.Timestamp(times)

只给出

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-15-320d28559d92> in <module>()
----> 1 t = pd.Timestamp(times)
pandas/_libs/tslibs/timestamps.pyx in 
pandas._libs.tslibs.timestamps.Timestamp.__new__()
pandas/_libs/tslibs/conversion.pyx in 
pandas._libs.tslibs.conversion.convert_to_tsobject()

TypeError: Cannot convert input [1        2017-07-23T00:26:50Z

我真的不明白发生了什么。

Answer 1

您可以使用Pandas DateTime功能：

import pandas as pd

import pandas as pd
s=pd.Series(['2017-07-23T00:26:50Z', '2017-07-31T04:07:24Z', '2017-07-18T15:09:20Z', '2017-07-12T18:34:48Z'])

pd.to_datetime(s)

P.S。 -这些“多余的数字”只是读取数据时熊猫分配的行号/自动索引：）

将UTC时间戳转换为秒TypeError

1 个答案: