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[英]Trying to condense data in several columns across multiple rows based on a common column value - python/pandas
[英]condense multiple rows into 1 aggregated by other columns pandas
如何选择由其他列分组的列并将该列的所有值放在 1 行(在列表中)。 输入:
PropID Manager Manager_email date
1 A a@aol.com 2021-02-01
1 A a@aol.com 2021-02-02
1 A a@aol.com 2021-02-03
1 A a@aol.com 2021-02-04
2 B b@aol.com 2021-02-08
2 B b@aol.com 2021-02-10
2 B b@aol.com 2021-02-12
2 B b@aol.com 2021-02-16
期望输出:
PropID Manager Manager_email date
1 A a@aol.com [2021-02-01,2021-02-02,2021-02-03,2021-02-04]
2 B b@aol.com [2021-02-08,2021-02-10,2021-02-12,2021-02-16]
试试这个:
df.groupby(['PropID','Manager','Manager_email'])['date'].agg(list)
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