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

for name, group in df.groupby(df.timestampe.dt.minute % 10):
    print
    print(name)
    print(group)

1
           timestampe text
0 2016-08-11 12:01:00    a
1 2016-08-13 11:11:00    b

3
           timestampe text
2 2016-08-09 11:13:00    c
3 2016-08-05 11:33:00    d
5 2016-08-21 11:43:00    f

7
           timestampe text
4 2016-08-19 11:27:00    e