select rows with same value in a column
select * from table where email in (
select email from table
group by email having count(*) > 1
)
select rows with same value in a column
select * from table where email in (
select email from table
group by email having count(*) > 1
)
select records based on multiple columns
new_df = old_df[((old_df['C1'] > 0) & (old_df['C1'] < 20)) & ((old_df['C2'] > 0) & (old_df['C2'] < 20)) & ((old_df['C3'] > 0) & (old_df['C3'] < 20))]
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