Trying to create a new column delivers A value is trying to be set on a copy of a slice from a DataFrame 试图创建一个新列传递一个值试图在 DataFrame 的切片副本上设置

Question

我有问题。我想创建一个新列 adress。在此之前，我只想获取 namecode === code 的所有列，但不幸的是我遇到了错误 A value is trying to be set on a copy ...。我查看了（见下文）但对我没有任何帮助。

How to deal with SettingWithCopyWarning in Pandas
SettingWithCopyWarning even when using .loc[row_indexer,col_indexer] = value
Python Pandas Warning: A value is trying to be set on a copy of a slice from a DataFrame

    customerId  code    namecode    name    street          adresscode
0   1           1       1           Mike    Long Street     458
1   2           1       1           Jucie   Short Street    856
2   3           9999    48           Max    Average Street  874


import pandas as pd

import pandas as pd
d = {'customerId': [1, 2, 3],
     'code': [1, 1, 9999],
     'name_code': [1, 1, 48],
     'name': ['Mike', 'Jucie', 'Max'],
     'street': ['Long Street', 'Short Street', 'Average Street'],
     'adresscode': ['458', '856', '874']
    }
df_old = pd.DataFrame(data=d)

display(df_old)

df_new = df_old.loc[df_old['code'] == df_old['name_code']]


>>> df_new['adress'] = df_new ['name'].copy() + df_new ['street'].copy() + df_new ['adresscode'].copy()

[OUT]
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead


>>> df_new['adress'] = df_new .loc['name','street','adresscode']

[OUT]
IndexingError: Too many indexers

我想要的

    customerId  code    namecode    name    street          adresscode adress
0   1           1       1           Mike    Long Street     458        Mike Long Street 458
1   2           1       1           Jucie   Short Street    856        Jucie Short Street 856

Answer 1

切片时需要复制，赋值时不需要：

df_new = df_old.loc[df_old['code'] == df_old['name_code']].copy()
df_new['adress'] = df_new['name'] + df_new['street'] + df_new['adresscode']

输出（没有SettingWithCopyWarning）：

   customerId  code  name_code   name        street adresscode  \
0           1     1          1   Mike   Long Street        458   
1           2     1          1  Jucie  Short Street        856   

                 adress  
0    MikeLong Street458  
1  JucieShort Street856

对于其他切片，您需要使用列列表：

df_new = df_old[['name','street','adresscode']].copy()
# OR
df_new = df_old.loc[:, ['name','street','adresscode']].copy()

Trying to create a new column delivers A value is trying to be set on a copy of a slice from a DataFrame 试图创建一个新列传递一个值试图在 DataFrame 的切片副本上设置

Trying to create a new column delivers A value is trying to be set on a copy of a slice from a DataFrame

python

dataframe

pandas