Question

    df["% Sales"] = df["Jan"]/df["Q1"]
    q1_sales =  df.groupby(["City"])["Jan","Feb","Mar", "Q1"].sum()
    ql_sales.head()



                   Jan  Feb  Mar   Q1
City            
Los Angeles        44   40   54   138

想要获得该季度销售百分比的代码。希望它看起来像这样，每个月下面除以该季度的总销售额。

                     Jan    Feb   Mar  
City            
Los Angeles          31.9%  29%  39.1%

Answer 1

使用：

new_df=q1_sales[q1_sales.columns.difference(['Q1'])]
new_df=(new_df.T/new_df.sum(axis=1)*100).T
print(new_df)

                   Feb        Jan        Mar
Los Angeles  28.985507  31.884058  39.130435

Answer 2

尝试div：

q1_sales[['Jan','Feb','Mar']].div(q1_sales['Q1']*0.01, axis='rows')

输出：

                   Jan        Feb        Mar
City                                        
Los Angeles  31.884058  28.985507  39.130435

熊猫Groupby占总百分比

2 个答案: