仅对 DatetimeIndex、TimedeltaIndex 或 PeriodIndex 有效,但得到了 'Int64Index' 的实例

Only valid with DatetimeIndex, TimedeltaIndex or PeriodIndex, but got an instance of 'Int64Index'

我正在尝试重新采样此数据帧的 Timestamp 列:

  Transit.head():

      Timestamp                            Plate           Gate
  0 2013-11-01 21:02:17 4f5716dcd615f21f658229a8570483a8    65
  1 2013-11-01 16:12:39 0abba297ac142f63c604b3989d0ce980    64
  2 2013-11-01 11:06:10 faafae756ce1df66f34f80479d69411d    57

这是我所做的:

  Transit.drop_duplicates(inplace=True)
  Transit.Timestamp = pd.to_datetime(Transit.Timestamp)
  Transit['Timestamp'].resample('1H').pad()

但是我得到了这个错误:

  Only valid with DatetimeIndex, TimedeltaIndex or PeriodIndex, but got an instance of 'Int64Index'

如有任何建议,我们将不胜感激。

通过DataFrame.set_index创建DatetimeIndex - 上采样和下采样的解决方案:

df = Transit.set_index('Timestamp').resample('1H').pad()
print (df)
                                                Plate  Gate
Timestamp                                                  
2013-11-01 11:00:00                               NaN   NaN
2013-11-01 12:00:00  faafae756ce1df66f34f80479d69411d  57.0
2013-11-01 13:00:00  faafae756ce1df66f34f80479d69411d  57.0
2013-11-01 14:00:00  faafae756ce1df66f34f80479d69411d  57.0
2013-11-01 15:00:00  faafae756ce1df66f34f80479d69411d  57.0
2013-11-01 16:00:00  faafae756ce1df66f34f80479d69411d  57.0
2013-11-01 17:00:00  0abba297ac142f63c604b3989d0ce980  64.0
2013-11-01 18:00:00  0abba297ac142f63c604b3989d0ce980  64.0
2013-11-01 19:00:00  0abba297ac142f63c604b3989d0ce980  64.0
2013-11-01 20:00:00  0abba297ac142f63c604b3989d0ce980  64.0
2013-11-01 21:00:00  0abba297ac142f63c604b3989d0ce980  64.0

对于下采样是可能的使用参数on:

df = Transit.resample('D', on='Timestamp').mean()
print (df)
            Gate
Timestamp       
2013-11-01    62

编辑:要删除所有具有重复 Timestamp 的行,请将参数 subset 添加到 DataFrame.drop_duplicates

Transit.drop_duplicates(subset=['Timestamp'], inplace=True)
Transit.Timestamp = pd.to_datetime(Transit.Timestamp)
df = Transit.set_index('Timestamp').resample('1H').pad()