Group by with condition
WebDeveloper Data Platform. Innovate fast at scale with a unified developer experience Web19 hours ago · 2 Answers. Sorted by: 0. Use sort_values to sort by y the use drop_duplicates to keep only one occurrence of each cust_id: out = df.sort_values ('y', ascending=False).drop_duplicates ('cust_id') print (out) # Output group_id cust_id score x1 x2 contract_id y 0 101 1 95 F 30 1 30 3 101 2 85 M 28 2 18.
Group by with condition
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WebSep 25, 2024 · So we have to use HAVING clause if we want to use any of these functions in the conditions. Syntax: SELECT column1, function_name(column2) FROM … Web15 hours ago · The group was dispersed from the area, and the park stayed open until its usual closing time of 11 p.m. Cellphone video captured the crowds of teens – and …
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