在 DataFrame 的 DateTimeIndex 之下。夏季/冬季时区是“美国/东部”,但记录的时间戳是“欧洲/伦敦”。我正在尝试重新索引,这将实现完整的时间序列。
DatetimeIndex(['1993-10-24 21:00:00', '1993-10-25 21:00:00',
'1993-10-26 21:00:00', '1993-10-27 21:00:00',
'1993-10-28 21:00:00', '1993-10-31 22:00:00',
'1993-11-01 22:00:00', '1993-11-02 22:00:00',
'1993-11-03 22:00:00', '1993-11-04 22:00:00'],
dtype='datetime64[ns]', name=u'TIME', freq=None)
如何在不弄乱小时元素的情况下重新索引上述内容?
最佳答案
tidx = pd.DatetimeIndex(
[
'1993-10-24 21:00:00', '1993-10-25 21:00:00',
'1993-10-26 21:00:00', '1993-10-27 21:00:00',
'1993-10-28 21:00:00', '1993-10-31 22:00:00',
'1993-11-01 22:00:00', '1993-11-02 22:00:00',
'1993-11-03 22:00:00', '1993-11-04 22:00:00'],
dtype='datetime64[ns]', name=u'TIME', freq=None
)
ts = tidx.to_series().dt.hour.resample('D').last().ffill().rename_axis('date')
ts.index + pd.to_timedelta(ts.values, unit='H')
DatetimeIndex(['1993-10-24 21:00:00', '1993-10-25 21:00:00',
'1993-10-26 21:00:00', '1993-10-27 21:00:00',
'1993-10-28 21:00:00', '1993-10-29 21:00:00',
'1993-10-30 21:00:00', '1993-10-31 22:00:00',
'1993-11-01 22:00:00', '1993-11-02 22:00:00',
'1993-11-03 22:00:00', '1993-11-04 22:00:00'],
dtype='datetime64[ns]', freq=None)
关于Python Pandas 日期时间索引,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/40249941/