TypeError：仅当dtype为datetime64 [ns]时对DatetimeIndex，TimedeltaIndex或PeriodIndex有效

Question

I have a pandas dataframe in Python with a column such as this:

 df.Timestamp

 ... .................. 129 2018-09-12 21:40:00 130 2018-09-12 21:50:00 131 2018-09-12 22:00:00 132 2018-09-12 22:10:00 133 2018-09-12 22:20:00 134 2018-09-12 22:30:00 135 2018-09-12 22:40:00 136 2018-09-12 22:50:00 137 2018-09-12 23:00:00 138 2018-09-12 23:10:00 139 2018-09-12 23:20:00 140 2018-09-12 23:30:00 141 2018-09-12 23:40:00 142 2018-09-12 23:50:00 Name: Timestamp, dtype: datetime64[ns] 

Type of individual element is:

type(df.Timestamp[0])

 datetime.datetime 

When I try resampling, following error occurs:

df.Timestamp.resample('2H')

TypeError: Only valid with DatetimeIndex, TimedeltaIndex or PeriodIndex

I have tried pd_todatetime but it does not work. As far as I know, my datatype is right as it is datetime.datetime None of the solutions I viewed had an answer for this type of problem.

What can be the solution?

Answer 1

There are 2 possible solutions - parameter on in resample or create DatetimeIndex by set_index .

Last add some aggregate function like sum , mean ...:

df.resample('2H', on='Timestamp').sum()

---

df.set_index('Timestamp').resample('2H').sum()