Python Pandas DateTimeIndex

Question

下面是来自DataFrame的DateTimeIndex。夏/冬季时区是“US/Eastern”，但记录的时间戳是“Europe/London”。我正在尝试重新索引以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)

如何重新索引上面的内容，而不会破坏小时元素？

- James

Answer 1

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)

- piRSquared