如何使用TimedeltaIndex向Panda数据帧添加偏移量
dfN.index
产出:
TimedeltaIndex([ '00:00:00', '00:00:00.100000', '00:00:00.200000',
'00:00:00.300000', '00:00:00.400000', '00:00:00.500000',
'00:00:00.600000', '00:00:00.700000', '00:00:00.800000',
'00:00:00.900000',
...
'01:56:26.700000', '01:56:26.800000', '01:56:26.900000',
'01:56:27', '01:56:27.100000', '01:56:27.200000',
'01:56:27.300000', '01:56:27.400000', '01:56:27.500000',
'01:56:27.600000'],
dtype='timedelta64[ns]', name='timestamps', length=69877, freq='100L')
这不起作用:
dfN.index += Offset #Offset = 100
输出
TypeError: Addition/subtraction of integers and integer-arrays with TimedeltaArray is no longer supported. Instead of adding/subtracting `n`, use `n * obj.freq`
在这种情况下,数据间隔为每100毫秒。我想加上和抵消500毫秒
变量
Offset
不能是整数。您需要创建一个Timedelta对象来添加它。试试这个:或
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