将列值合并为一列作为列表，列名作为python中的键答案

【问题标题】：Consolidate column values into one column as a list with column name as key in python将列值合并为一列作为列表，列名作为python中的键
【发布时间】：2022-08-02 23:09:25
【问题描述】：

我有如下所示的数据框：

id  address city    pincode
1   here is address 1   city1   1234
2   here is address 2   city2   4321
3   here is address 3   city3   7654
4   here is address 4   city4   9876
5   here is address 5   city5   987

我想要实现的是：

id  address city    pincode Newcolumn
1   here is address 1   city1   1234    address:\'here is address 1\', city: \'city1\', pincode:\'1234\'
2   here is address 2   city2   4321    address:\'here is address 2\', city: \'city2\', pincode:\'4321\'
3   here is address 3   city3   7654    address:\'here is address 3\', city: \'city3\', pincode:\'7654\'
4   here is address 4   city4   9876    address:\'here is address 4\', city: \'city4\', pincode:\'9876\'
5   here is address 5   city5   987 address:\'here is address 5\', city: \'city5\', pincode:\'987\'

我一直在尝试这样做：

cols = df[[\'address\', \'city\', \'pincode\']]

df[\'Newcolumn\'] = df[cols].str.join()

标签： python pandas join multiple-columns

【解决方案1】：

您可以使用应用功能

df['Newcolumn'] = df.apply(lambda x: f" Address: {x.address}, City: {x.city}, Pincode: {x.pincode}", axis=1)

输出：

【讨论】：

【解决方案2】：

可以通过to_dict(orient='records') 完成：

import pandas as pd
from io import StringIO

# create dataframe
data = StringIO("""id;address;city;pincode
1;here is address 1;city1;1234
2;here is address 2;city2;4321
3;here is address 3;city3;7654
4;here is address 4;city4;9876
5;here is address 5;city5;987
""")
df = pd.read_csv(data, sep=';', index_col='id')

# assign new column
df = df.assign(Newcolumn = df.to_dict(orient='records'))

输出：

【讨论】：