Question

我正在尝试使用每个多指标的总销售额来计算销售额百分比。我的DataFrame是这样的：

local   categoria   fabricante   tipo      consistencia    peso         pacote   ordem vendas_kg
AREA I  SABAO       ASATP        DILUIDO   LIQUIDO         1501 A 2000g PLASTICO 1    10
AREA I  SABAO       TEPOS        DILUIDO   LIQUIDO         1501 A 2000g PLASTICO 1    20
AREA I  SABAO       ASATP        CAPSULA   LIQUIDO         1501 A 2000g PLASTICO 1    20
AREA I  SABAO       TEPOS        CAPSULA   LIQUIDO         1501 A 2000g PLASTICO 1    30
AREA I  SABAO       ASATP        DILUIDO   LIQUIDO         1501 A 2000g PLASTICO 2    20
AREA I  SABAO       TEPOS        DILUIDO   LIQUIDO         1501 A 2000g PLASTICO 2    30
AREA I  SABAO       ASATP        CAPSULA   LIQUIDO         1501 A 2000g PLASTICO 2    20
AREA I  SABAO       TEPOS        CAPSULA   LIQUIDO         1501 A 2000g PLASTICO 2    30
AREA II SABAO       ASATP        DILUIDO   LIQUIDO         1501 A 2000g PLASTICO 1    10
AREA II SABAO       TEPOS        DILUIDO   LIQUIDO         1501 A 2000g PLASTICO 1    15
AREA II SABAO       ASATP        CAPSULA   LIQUIDO         1501 A 2000g PLASTICO 1    25
AREA II SABAO       TEPOS        CAPSULA   LIQUIDO         1501 A 2000g PLASTICO 1    35
AREA II SABAO       ASATP        DILUIDO   LIQUIDO         1501 A 2000g PLASTICO 2    20
AREA II SABAO       TEPOS        DILUIDO   LIQUIDO         1501 A 2000g PLASTICO 2    25
AREA II SABAO       TEPOS        CAPSULA   LIQUIDO         1501 A 2000g PLASTICO 2    20
AREA II SABAO       TEPOS        CAPSULA   LIQUIDO         1501 A 2000g PLASTICO 2    30

因此，我正在计算索引中每个唯一元组的总销售额，并将其存储为总数据框。我的目标是计算每个[fabricante]市场份额，但现在我的目标是TEPOS。旋转我的DataFrame之后，像这样：

                                       sum           sum
                                 vendas_kg     vendas_kg
fabricante                           ASATP         TEPOS      Total
local          tipo      ordem 
AREA I         DILUIDO     1          10            20         30
                           2          20            30         50
               CAPSULA     1          10            20         30
                           2          20            30         50
AREA II        DILUIDO     1          10            15         25
                           2          20            25         45
               CAPSULA     1          25            35         55
                           2          20            30         50

我用于计算总数和使用multiindex创建数据框的代码是：

#creating a sample from all data

a = df.sample(n=50)

#creating a multiindex dataframe

temp_df = pd.pivot_table(a.fillna(value=0), index=['tipo','local','pacote'],columns=['fabricante'], values=['vendas_kg'], fill_value=0, aggfunc=[np.sum])
total = temp_df.sum(level=1, axis=1)

#calculating the marketshare for Tepos

temp_df[('sum','vendas_kg','TEPOS')] = temp_df[('sum','vendas_kg','TEPOS')] / temp_df.sum(level=1, axis=1)

有两件事发生了，如果我使用所有列，那么如果我使用上面的代码，所有数据将变为NaN。

ValueError: cannot join with no level specified and no overlapping names

我的目标是拥有这样的东西：

                                       sum           sum
                                 vendas_kg     vendas_kg
fabricante                           ASATP         TEPOS     % segment  Total
local          tipo      ordem 
AREA I         DILUIDO     1          33%            66%         50%     30
                           2          40%            60%         50%     50
               CAPSULA     1          33%            66%         50%     30
                           2          40%            60%         50%     50
AREA II        DILUIDO     1          40%            60%        31.25%   25
                           2         44.44%         55.56%      47.37%   45
               CAPSULA     1         43.64%         57.36%      53.63%   55
                           2          40%            60%        53.63%   50

有人可以帮助我吗？在Percentage calculation in pivot table pandas with columns

上找到有关数据和目标的更多信息。

Answer 1

尝试一下：

df_percent = temp_df.apply(lambda x: round(x / x.sum() * 100, 2), axis = 1)

                            sum
                            vendas_kg
              fabricante    ASATP   TEPOS
tipo    local   pacote      
CAPSULA AREA I  PLASTICO    40.00   60.00
        AREA II PLASTICO    22.73   77.27
DILUIDO AREA I  PLASTICO    37.50   62.50
        AREA II PLASTICO    42.86   57.14

要添加total列，请执行以下操作：

df_percent['total'] = total

说明

apply等价于一个循环，并且 axis 命令告诉应用程序他将按列滚动。代码要做的只是取每一行的值，然后除以整行的总和。在添加total

之类的其他列之前，我实现的方法才有效

使用两个数据框计算熊猫百分比

1 个答案: