group by pandas examples
>>> n_by_state = df.groupby("state")["state"].count() >>> n_by_state.head(10) state AK 16 AL 206 AR 117 AS 2 AZ 48 CA 361 CO 90 CT 240 DC 2 DE 97 Name: last_name, dtype: int64
group by pandas examples
>>> n_by_state = df.groupby("state")["state"].count() >>> n_by_state.head(10) state AK 16 AL 206 AR 117 AS 2 AZ 48 CA 361 CO 90 CT 240 DC 2 DE 97 Name: last_name, dtype: int64
Pandas groupby
>>> emp.groupby(['dept', 'gender']).agg({'salary':'mean'}).round(-3)
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