Pandas 如何将时间戳列 (EST) 转换为其他列中可用的本地时区信息

Question

来自

colA (EST)                 colB (local tz) 
2016-09-19 01:29:13        US/Central
2016-09-19 02:16:04        Etc/GMT+2
2016-09-19 01:57:54        Europe/London

到

colA (EST)                 colB (local tz)      colC (timestamp in local tz)    
2016-09-19 01:29:13        US/Central           2016-09-19 02:29:13 
2016-09-19 02:16:04        Etc/GMT+2            2016-09-19 08:16:04
2016-09-19 01:57:54        Europe/London        2016-09-19 05:57:54

Answer 1

读取日期时间列作为时间戳并定位到 US/Eastern 时间，然后应用 tz_convert

df['colA (EST)'] = pd.to_datetime(df['colA (EST)']).dt.tz_localize('US/Eastern')
df['colC (timestamp in local tz) '] = df.apply(lambda x: x['colA (EST)']\
.tz_convert(x['colB (local tz)']), axis = 1)



    colA (EST)                 colB (local tz)  colC (timestamp in local tz)
0   2016-09-19 01:29:13-04:00   US/Central      2016-09-19 00:29:13-05:00
1   2016-09-19 02:16:04-04:00   Etc/GMT+2       2016-09-19 04:16:04-02:00
2   2016-09-19 01:57:54-04:00   Europe/London   2016-09-19 06:57:54+01:00

Pandas 如何将时间戳列 (EST) 转换为其他列中可用的本地时区信息

Pandas how to convert a timestamp column (EST) to local TimeZone info available in other column

python

pandas

timestamp-with-timezone