如何将两个值插入列表 Pandas.Dataframe？答案

【问题标题】：How to insert two values into a list Pandas.Dataframe?如何将两个值插入列表 Pandas.Dataframe？
【发布时间】：2021-02-16 19:50:38
【问题描述】：

我有这个问题，我想在列表的开头和结尾插入两个值。

我有这个初始数据框：

source_x     destination_x   Path_Def
10.0.11.100  10.0.12.100     ['10.0.11.10', '10.0.1.2']
10.0.11.100  10.0.13.100     ['10.0.11.10', '10.0.1.6', '10.0.1.18']
10.0.11.100  10.0.14.100     ['10.0.11.10', '10.0.1.6', '10.0.1.18', '10.0.1.26']
10.0.11.100  10.0.22.100     ['10.0.11.10', '10.0.1.6', '10.0.1.14', '10.0.4.6', '10.0.2.5']
10.0.11.100  10.0.23.100     ['10.0.11.10', '10.0.1.6', '10.0.1.14', '10.0.6.6', '10.0.2.9']
10.0.11.100  10.0.24.100     ['10.0.11.10', '10.0.1.6', '10.0.1.14', '10.0.4.6', '10.0.2.18']
10.0.11.100  10.0.25.100     ['10.0.11.10', '10.0.1.6', '10.0.1.14', '10.0.6.6', '10.0.2.23']

我想要得到的结果是这样的：

source_x     destination_x   Path_Def
10.0.11.100  10.0.12.100     ['10.0.11.100','10.0.11.10', '10.0.1.2', '10.0.12.100']
10.0.11.100  10.0.13.100     ['10.0.11.100','10.0.11.10', '10.0.1.6', '10.0.1.18','10.0.13.100']
10.0.11.100  10.0.14.100     ['10.0.11.100','10.0.11.10', '10.0.1.6', '10.0.1.18', '10.0.1.26','10.0.14.100']
10.0.11.100  10.0.22.100     ['10.0.11.100','10.0.11.10', '10.0.1.6', '10.0.1.14', '10.0.4.6', '10.0.2.5','10.0.22.100']
10.0.11.100  10.0.23.100     ['10.0.11.100','10.0.11.10', '10.0.1.6', '10.0.1.14', '10.0.6.6', '10.0.2.9','10.0.23.100']
....

这是我的代码/数据框：

df = pd.DataFrame({'source_x':[ '10.0.11.100', '10.0.11.100', '10.0.11.100', 
                               '10.0.11.100', '10.0.11.100', '10.0.11.100', '10.0.11.100'], 
                'destination_x':['10.0.12.100', '10.0.13.100', '10.0.14.100', 
                                '10.0.22.100', '10.0.23.100', '10.0.24.100', '10.0.25.100'], 
                'Path_Def':[['10.0.11.10', '10.0.1.2'],
           ['10.0.11.10', '10.0.1.6', '10.0.1.18'],
           ['10.0.11.10', '10.0.1.6', '10.0.1.18', '10.0.1.26'],
           ['10.0.11.10', '10.0.1.6', '10.0.1.14', '10.0.4.6', '10.0.2.5'],          
           ['10.0.11.10', '10.0.1.6', '10.0.1.14', '10.0.6.6', '10.0.2.9'],
           ['10.0.11.10', '10.0.1.6', '10.0.1.14', '10.0.4.6', '10.0.2.18'],
           ['10.0.11.10', '10.0.1.6', '10.0.1.14', '10.0.6.6', '10.0.2.23']]
})

这是怎么做到的？

【问题讨论】：

标签： python python-3.x pandas list dataframe

【解决方案1】：

是的，你可以apply：

df['Path_Def'] = df.apply(lambda x: [x['source_x']] + x['Path_Def'] + [x['destination_x']], 
                          axis=1)

输出：

    source_x     destination_x    Path_Def
--  -----------  ---------------  ----------------------------------------------------------------------------------------------
 0  10.0.11.100  10.0.12.100      ['10.0.11.100', '10.0.11.10', '10.0.1.2', '10.0.12.100']
 1  10.0.11.100  10.0.13.100      ['10.0.11.100', '10.0.11.10', '10.0.1.6', '10.0.1.18', '10.0.13.100']
 2  10.0.11.100  10.0.14.100      ['10.0.11.100', '10.0.11.10', '10.0.1.6', '10.0.1.18', '10.0.1.26', '10.0.14.100']
 3  10.0.11.100  10.0.22.100      ['10.0.11.100', '10.0.11.10', '10.0.1.6', '10.0.1.14', '10.0.4.6', '10.0.2.5', '10.0.22.100']
 4  10.0.11.100  10.0.23.100      ['10.0.11.100', '10.0.11.10', '10.0.1.6', '10.0.1.14', '10.0.6.6', '10.0.2.9', '10.0.23.100']
 5  10.0.11.100  10.0.24.100      ['10.0.11.100', '10.0.11.10', '10.0.1.6', '10.0.1.14', '10.0.4.6', '10.0.2.18', '10.0.24.100']
 6  10.0.11.100  10.0.25.100      ['10.0.11.100', '10.0.11.10', '10.0.1.6', '10.0.1.14', '10.0.6.6', '10.0.2.23', '10.0.25.100']

【讨论】：