group by max date
SELECT train, dest, time FROM (
SELECT train, dest, time,
RANK() OVER (PARTITION BY train ORDER BY time DESC) dest_rank
FROM traintable
) where dest_rank = 1group by max date
SELECT train, dest, time FROM (
SELECT train, dest, time,
RANK() OVER (PARTITION BY train ORDER BY time DESC) dest_rank
FROM traintable
) where dest_rank = 1get maximum value index after groupby
You can sort the dataFrame by count and then remove duplicates. I think it's easier:
df.sort_values('count', ascending=False).drop_duplicates(['Sp','Mt'])Copyright © 2021 Codeinu
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