Question

我有一个数据框“ fpd”，它使用

划分为列['View']中的唯一值

bookuniques = fpd['View'].unique()

fpdict = {elem: pd.DataFrame for elem in bookuniques}

for key in fpdict.keys():
    fpdict[key] = fpd[:][fpd['View'] == key]

数据框看起来像：

    Product PG Location Row Group   Ph DD                   Pd TC   Variance    
    C4      CL          01.1 OI     OpeningInventory        200     200     
            PU          01.1 OI     OpeningInventory        400     400
            MR          01.1 OI     OpeningInventory        600     600 
            NP          01.1 OI     OpeningInventory        200     200
            PR          01.1 OI     OpeningInventory        400     400 
            PS          01.1 OI     OpeningInventory        600     600 
            PW          01.1 OI     OpeningInventory        200     200

我试图为每个这些数据帧分别添加一个求和行。我尝试使用输出将过程包括在内以使用

with pd.ExcelWriter('check2.xlsx') as writer:
    for key in fpdict.keys():
        fpdict[key].drop(['View'], axis = 1) 
        fpdict[key].append(fpdict[key].sum(numeric_only = True), ignore_index=True)
        temp = fpdict[key]
        temp.to_excel(writer, sheet_name = key)

很遗憾，这样做删除索引列[['Product'],['PG'],['Location']]

我希望输出为

        Product PG Location Row Group   Ph DD                   Pd TC   Variance    
        C4      CL          01.1 OI     OpeningInventory        200     200     
                PU          01.1 OI     OpeningInventory        400     400
                MR          01.1 OI     OpeningInventory        600     600 
                NP          01.1 OI     OpeningInventory        200     200
                PR          01.1 OI     OpeningInventory        400     400 
                PS          01.1 OI     OpeningInventory        600     600 
                PW          01.1 OI     OpeningInventory        200     200
                TOTAL                                           2600    2600

Answer 1

这是我必须做的假设，因为在问题中没有明确指出：

数据框在产品，PG，位置列上具有多个索引
新行将PG = Total和所有其他非数字字段设置为空字符串
fpdict [key]将删除View列

您必须将代码更改为：

with pd.ExcelWriter('check2.xlsx') as writer:
    for key in fpdict.keys():
        temp = fpdict[key].drop(['View'], axis = 1).reset_index()
        temp.append(fpdict[key].sum(numeric_only = True), ignore_index=True) # add sum row
        temp.iloc[-1] = temp.iloc[-1].fillna(' ')      # replace NaNs with ''
        temp.iloc[-1, 1] = 'TOTAL'
        fpdict[key] = temp.set_index(['Product', 'PG', 'Location'])
        temp.to_excel(writer, sheet_name = key)

在迭代过程中汇总拆分的数据框列

1 个答案: