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()
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()