pandas 数据框日期时间到秒 [英] Pandas dataframe datetime to time then to seconds

问题描述

我有一个数据框.一列包含时间戳.我想删除日期并将时间转换为秒.

I have a dataframe. A column contains timestamps. I would like to remove dates and convert the time to seconds.

首先，我将它们转换为日期时间:

First I converted them to datetime:

In:
df_time = pd.to_datetime(df["Timestamp"])

Out:
0     2017-11-07 13:09:00
1     2017-11-07 13:11:00
2     2017-11-07 13:13:00
3     2017-11-07 13:15:00
dtype: datetime64[ns]

然后我删除了日期:

In:
df_time = pd.Series([val.time() for val in df_time])

Out:
0      13:09:00
1      13:11:00
2      13:13:00
3      13:15:00
4      13:17:00
dtype: object

但是它们变成了对象，我没有设法将它们转换为类似datetime的对象以将它们转换为秒.我知道我也通过了一些类似的线程.

But they became objects and I did not managed to convert them to datetime-like objects to convert them into seconds. I know there are some similar threads I went trhough them.

我先感谢您的帮助.

推荐答案

由于将其转换为日期时间序列，因此只需使用基本数学即可获得秒数，即

Since you are converting it to datetime series, simply use basic maths to get the seconds i.e

df_time = pd.to_datetime(df["Timestamp"])

(df_time.dt.hour*60+df_time.dt.minute)*60 + df_time.dt.second

0    47340
1    47460
2    47580
3    47700
Name: Timestamp, dtype: int64

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