TypeError: Only valid with DatetimeIndex, TimedeltaIndex or PeriodIndex when dtype is datetime64[ns]

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()