如何在 Python Pandas 中将单元格与来自不同数据帧的列表数据类型合并？答案

【问题标题】：How to merge cells with list datatypes from different dataframes in Python Pandas?如何在 Python Pandas 中将单元格与来自不同数据帧的列表数据类型合并？
【发布时间】：2021-08-16 14:55:13
【问题描述】：

我目前正在尝试使用 pandas 将来自两个不同数据框的列表合并在一起。我试图让 df1 中的每个单元格合并 df2 中的所有单元格。例如，我有以下两个数据框：

>>> df1
0   [This, is, a, sentence]
1   [this, is, another, sentence]

>>> df2
0   [this, is, also, a, sentence]
1   [this, too, is, a, sentence]
2   [this, is, very, different]
3   [another, sentence, is, this]
4   [not, much, of, anything]

我正在尝试将 df1 中的两个单元格与 df2 中的单元格合并，以提供以下输出：

>>> df_merged
0   [this, is, also, a, sentence, This, is, a, sentence]   
1   [this, too, is, a, sentence, This, is, a, sentence]       
2   [this, is, very, different, This, is, a, sentence]       
3   [another, sentence, is, this, This, is, a, sentence]     
4   [not, much, of, anything, This, is, a, sentence]       

>>> df2_merged
0   [this, is, also, a, sentence, This, is, another, sentence]   
1   [this, too, is, a, sentence, This, is, another, sentence]     
2   [this, is, very, different, This, is, another, sentence]      
3   [another, sentence, is, this, This, is, another, sentence]   
4   [not, much, of, anything, This, is, another, sentence]

关于如何实现这一目标的任何想法？它们不一定需要拆分为不同的数据帧，它们可以位于同一数据帧的不同列中等

【问题讨论】：

标签： python pandas dataframe

【解决方案1】：

Cross 加入两个数据框，然后连接两个列表：

df1.join(df2, how='cross', lsuffix='1', rsuffix='2').apply(lambda x: x['text2']+x['text1'], axis=1)

输出：

0          [this, is, also, a, sentence, This, is, a, sentence]
1           [this, too, is, a, sentence, This, is, a, sentence]
2            [this, is, very, different, This, is, a, sentence]
3          [another, sentence, is, this, This, is, a, sentence]
4              [not, much, of, anything, This, is, a, sentence]
5    [this, is, also, a, sentence, this, is, another, sentence]
6     [this, too, is, a, sentence, this, is, another, sentence]
7      [this, is, very, different, this, is, another, sentence]
8    [another, sentence, is, this, this, is, another, sentence]
9        [not, much, of, anything, this, is, another, sentence]
dtype: object

用于上述代码的数据（df1 和 df2 有 text 列）：

>>> df1
                            text
0        [This, is, a, sentence]
1  [this, is, another, sentence]

>>> df2
                            text
0  [this, is, also, a, sentence]
1   [this, too, is, a, sentence]
2    [this, is, very, different]
3  [another, sentence, is, this]
4      [not, much, of, anything]

【讨论】：