Market_sales = df.groupby(["Market"]).agg({"Sales":"sum"})
Market_Year_Sales = df.groupby(["Market","year"]).agg({"Sales":"sum"}).reset_index().rename(columns={"Sales":"Sales_amounts"})#pandas引入了agg函数,它提供基于列的聚合操作。而groupby可以看做是基于行,或者说index的聚合操作
Market_sales = df.groupby(["Market"]).agg({"Sales":"sum"})
Market_Year_Sales = df.groupby(["Market","year"]).agg({"Sales":"sum"}).reset_index().rename(columns={"Sales":"Sales_amounts"})#pandas引入了agg函数,它提供基于列的聚合操作。而groupby可以看做是基于行,或者说index的聚合操作