Panda How To Groupby Rows Into Different Time Buckets?

I have a dataframe with a datetime type column called timestamp, I want to split the dataframe into several dataframes based on timestamp the time part, each dataframe contains row

Solution 1:

Your main tools will be df.timestampe.dt.minute % 10 and groupby. I used an apply(pd.DataFrame.reset_index) just as a convenience to illustrate

df.groupby(df.timestampe.dt.minute % 10).apply(pd.DataFrame.reset_index)

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Just using the groupby could be advantageous as well

forname,groupindf.groupby(df.timestampe.dt.minute%10):printprint(name)print(group)1timestampetext02016-08-11 12:01:00    a12016-08-13 11:11:00    b3timestampetext22016-08-09 11:13:00    c32016-08-05 11:33:00    d52016-08-21 11:43:00    f7timestampetext42016-08-19 11:27:00    e