Deleting rows based on time interval in pandas

I have a dataframe with datetime timestamps (every 1 minute). I’d like to increase the time interval between rows to 5 minutes. Basically keep rows 0, 5, 10 etc and remove the rest. How would I do that?

Date                       Value
17/08/2017  04:00:00       0
17/08/2017  04:01:00       1
17/08/2017  04:02:00       2
17/08/2017  04:03:00       3
17/08/2017  04:04:00       4
17/08/2017  04:05:00       5
17/08/2017  04:06:00       6
17/08/2017  04:07:00       7
17/08/2017  04:08:00       8
17/08/2017  04:09:00       9
17/08/2017  04:10:00       10

Thanks

Answer

Firstly convert your date column to datetime dtype by using to_datetime() method(If its already of datetime then ignore this step):

df['Date']=pd.to_datetime(df['Date'])

Finally You can do this by boolean masking:

newdf=df[df['Date'].dt.minute%5==0]

Now if you prints newdf you will get your desired output:

    Date                    Value
0   2017-08-17 04:00:00     0
5   2017-08-17 04:05:00     5
10  2017-08-17 04:10:00     10

If needed use reset_index() method:

newdf=newdf.reset_index(drop=True)

Output of above code:

    Date                    Value
0   2017-08-17 04:00:00     0
1   2017-08-17 04:05:00     5
2   2017-08-17 04:10:00     10