Python 按索引行复制/复制行/Numpy

我试图通过数据帧的索引复制/复制数据帧中的几行，但我并没有为此做出任何接近的结果

给定此数据帧：

Source_ID | SecondaryName                      | PrimaryName                        | Address                | City        | State | Full_Postal_Code | Postal_Code | Country | Telephone  | Brand0   | Brand1    | Brand2
123456    | JACK SCHMITT CADILLAC, INC.        | JACK SCHMITT CADILLAC, INC.        | 915 W HWY 50           | O FALLON    | IL    | 62269            | 62269       | USA     | 6186321001 | Cadillac | GMC       | Buick
987654    | JAMES E. BLACK CADILLAC            | JAMES E. BLACK CADILLAC            | 3929 ADMIRAL PEARY HWY | EBENSBURG   | PA    | 15931            | 15931       | USA     | 8144729553 | Cadillac | NaN       | GMC
753951    | COLE-VALLEY MOTOR COMPANY          | COLE-VALLEY MOTOR COMPANY          | 4111 ELM ROAD NE       | WARREN      | OH    | 44483            | 44483       | USA     | 3303721668 | Cadillac | Buick     | NaN
159357    | MCDONALD GMC-CADILLAC, INC.        | MCDONALD GMC-CADILLAC, INC.        | 5155 STATE ST          | SAGINAW     | MI    | 48603            | 48603       | USA     | 9897905154 | Cadillac | Buick     | NaN
456987    | DAVID BRUCE AUTO CENTER, INC.      | DAVID BRUCE AUTO CENTER, INC.      | 555 LATHAM DR          | BOURBONNAIS | IL    | 60914            | 60914       | USA     | 8159337709 | Cadillac | Chevrolet | GMC
321456    | JACK WOLF CADILLAC-GMC TRUCK, INC. | JACK WOLF CADILLAC-GMC TRUCK, INC. | 1855 N STATE ST        | BELVIDERE   | IL    | 61008            | 61008       | USA     | 8155443403 | Cadillac | NaN       | NaN

我的守则如下：

def duplicateDealers(self, data):
    pd.options.display.width = 0
    counter = 0
    for index, row in data.iterrows():
        brandColumn = 'Brand' + str(counter)
        # print(index, row[brandColumn])
        if str(row[brandColumn]) == 'Cadillac':
            newData = pd.DataFrame(np.repeat(data.loc[int(index)], 1))
            newData['Repeated'] = 'Yes'
    print(newData.columns)
    print(type(pd.DataFrame(np.repeat(data.loc[int(index)], 1))))
    print(newData)

如果我使用以下代码：

newData = pd.DataFrame(np.repeat(data.loc[int(index)], 1, axis=0))

我得到这个错误：

ValueError:在repeat（）的实现中不支持“axis”参数

我想用这段代码实现什么

我迭代行和列以识别列“Brand0”中的单词“Cadillac”，如果条件为真，那么我希望通过其索引复制整行并保持行的原始格式，然后我将根据自己的意愿操作新行数据

输出如下（列名“4108”是一个随机索引，数据帧有大量记录，超过5k）：

我想要的结果是：

我做错了什么

问候并感谢你

编辑：

以下是一些示例数据：

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编辑2:

以下是我试图实现的目标的更多细节：

每一行可能有几个BrandX列，根据其内容，我将复制该行并将品牌名称和其他内容添加到源ID中，以便根据经销商品牌获得正确数量的记录

数据帧：

Source_ID | SecondaryName                      | PrimaryName                        | Address                | City        | State | Full_Postal_Code | Postal_Code | Country | Telephone  | Brand0   | Brand1    | Brand2
123456    | JACK SCHMITT CADILLAC, INC.        | JACK SCHMITT CADILLAC, INC.        | 915 W HWY 50           | O FALLON    | IL    | 62269            | 62269       | USA     | 6186321001 | Cadillac | GMC       | Buick
987654    | JAMES E. BLACK CADILLAC            | JAMES E. BLACK CADILLAC            | 3929 ADMIRAL PEARY HWY | EBENSBURG   | PA    | 15931            | 15931       | USA     | 8144729553 | Cadillac | NaN       | GMC
753951    | COLE-VALLEY MOTOR COMPANY          | COLE-VALLEY MOTOR COMPANY          | 4111 ELM ROAD NE       | WARREN      | OH    | 44483            | 44483       | USA     | 3303721668 | Cadillac | Buick     | NaN
159357    | MCDONALD GMC-CADILLAC, INC.        | MCDONALD GMC-CADILLAC, INC.        | 5155 STATE ST          | SAGINAW     | MI    | 48603            | 48603       | USA     | 9897905154 | Cadillac | Buick     | NaN
456987    | DAVID BRUCE AUTO CENTER, INC.      | DAVID BRUCE AUTO CENTER, INC.      | 555 LATHAM DR          | BOURBONNAIS | IL    | 60914            | 60914       | USA     | 8159337709 | Cadillac | Chevrolet | GMC
321456    | JACK WOLF CADILLAC-GMC TRUCK, INC. | JACK WOLF CADILLAC-GMC TRUCK, INC. | 1855 N STATE ST        | BELVIDERE   | IL    | 61008            | 61008       | USA     | 8155443403 | Cadillac | NaN       | NaN

预期产出：

Source_ID        | SecondaryName                      | PrimaryName                        | Address                | City        | State | Full_Postal_Code | Postal_Code | Country | Telephone  | Brand0   | Brand1    | Brand2
123456_Cadillac  | JACK SCHMITT CADILLAC, INC.        | JACK SCHMITT CADILLAC, INC.        | 915 W HWY 50           | O FALLON    | IL    | 62269            | 62269       | USA     | 6186321001 | Cadillac | GMC       | Buick
123456_GMC       | JACK SCHMITT CADILLAC, INC.        | JACK SCHMITT CADILLAC, INC.        | 915 W HWY 50           | O FALLON    | IL    | 62269            | 62269       | USA     | 6186321001 | Cadillac | GMC       | Buick
123456_Buick     | JACK SCHMITT CADILLAC, INC.        | JACK SCHMITT CADILLAC, INC.        | 915 W HWY 50           | O FALLON    | IL    | 62269            | 62269       | USA     | 6186321001 | Cadillac | GMC       | Buick
987654_Cadillac  | JAMES E. BLACK CADILLAC            | JAMES E. BLACK CADILLAC            | 3929 ADMIRAL PEARY HWY | EBENSBURG   | PA    | 15931            | 15931       | USA     | 8144729553 | Cadillac | NaN       | GMC
987654_GMC       | JAMES E. BLACK CADILLAC            | JAMES E. BLACK CADILLAC            | 3929 ADMIRAL PEARY HWY | EBENSBURG   | PA    | 15931            | 15931       | USA     | 8144729553 | Cadillac | NaN       | GMC
753951_Cadillac  | COLE-VALLEY MOTOR COMPANY          | COLE-VALLEY MOTOR COMPANY          | 4111 ELM ROAD NE       | WARREN      | OH    | 44483            | 44483       | USA     | 3303721668 | Cadillac | Buick     | NaN
753951_GMC       | COLE-VALLEY MOTOR COMPANY          | COLE-VALLEY MOTOR COMPANY          | 4111 ELM ROAD NE       | WARREN      | OH    | 44483            | 44483       | USA     | 3303721668 | Cadillac | Buick     | NaN
159357_Cadillac  | MCDONALD GMC-CADILLAC, INC.        | MCDONALD GMC-CADILLAC, INC.        | 5155 STATE ST          | SAGINAW     | MI    | 48603            | 48603       | USA     | 9897905154 | Cadillac | Buick     | NaN
159357_Buick     | MCDONALD GMC-CADILLAC, INC.        | MCDONALD GMC-CADILLAC, INC.        | 5155 STATE ST          | SAGINAW     | MI    | 48603            | 48603       | USA     | 9897905154 | Cadillac | Buick     | NaN
456987_Cadillac  | DAVID BRUCE AUTO CENTER, INC.      | DAVID BRUCE AUTO CENTER, INC.      | 555 LATHAM DR          | BOURBONNAIS | IL    | 60914            | 60914       | USA     | 8159337709 | Cadillac | Chevrolet | GMC
456987_Chevrolet | DAVID BRUCE AUTO CENTER, INC.      | DAVID BRUCE AUTO CENTER, INC.      | 555 LATHAM DR          | BOURBONNAIS | IL    | 60914            | 60914       | USA     | 8159337709 | Cadillac | Chevrolet | GMC
456987_GMC       | DAVID BRUCE AUTO CENTER, INC.      | DAVID BRUCE AUTO CENTER, INC.      | 555 LATHAM DR          | BOURBONNAIS | IL    | 60914            | 60914       | USA     | 8159337709 | Cadillac | Chevrolet | GMC
321456_Cadillac  | JACK WOLF CADILLAC-GMC TRUCK, INC. | JACK WOLF CADILLAC-GMC TRUCK, INC. | 1855 N STATE ST        | BELVIDERE   | IL    | 61008            | 61008       | USA     | 8155443403 | Cadillac | NaN       | NaN

---

下面的代码可以做到这一点

模块

import numpy as np
import pandas as pd

示例数据

df = pd.DataFrame({'Source':[111347,115742,100007], 'Brand0':['Cadillac', 'Cadillac', 'Alternative']})

使用

np解决方案。重复

df.loc[np.repeat(df.index.values, list(df['Brand0'].isin(['Cadillac'])+1))]

你能分享数据而不是截图吗。这将有助于重现您的问题并帮助您解决问题。谢谢您的回答，我已经更新了帖子。实际上，这是可行的，但一次复制所有行，我会丢失每个重复行的可见性，以便在行的单元格中进行一些更改。假设我需要根据我在条件中检测到的品牌（可以是凯迪拉克、别克、雪佛兰等）更改“来源”，然后进行一些更改，例如：Row1=Source['111347_GMC']；Row2=Source['111347_凯迪拉克']。这就是为什么我需要一行一行地复制数据，这样我就可以控制每个复制的行，并对行进行必要的更改。不确定我是否理解您的要求，在一次复制完所有数据之后，使用
df.iloc[0:2，：]
逐行分割数据不是更容易吗？@RuthgerRighart，可能添加
df['Repeated']=df.duplicated（）
您的答案符合OP要求。@RuthgerRighart如果我不太清楚，我很抱歉，我已经再次更新了帖子。