medium10 pts · first answer countspythonpandasgroupby

Named columns from groupby

Which call returns one row per city with columns called total and orders?

A.df.groupby("city").agg(total=("sales", "sum"), orders=("order_id", "nunique"))B.df.groupby("city").agg({"total": "sum", "orders": "nunique"})C.df.groupby("city").sum(total="sales", orders="order_id")D.df.groupby("city")[["sales", "order_id"]].agg(["total", "orders"])

Discussion 0

Join free to post in the discussion.

Named columns from groupby

Discussion 0

Related questions