dataframe两表横向拼接

要实现DataFrame两表的横向拼接，可以使用`pd.concat()`函数。首先，将需要拼接的DataFrame以列表形式传递给`pd.concat()`函数，然后指定`axis=1`参数来表示横向拼接。具体代码如下所示：

import pandas as pd

df1 = pd.DataFrame([['Tom','2001',98], ['Jack','2002',63], ['Lucy','2003',88], ['Nick','2004',100]], columns=['姓名','学号','成绩'])
df2 = pd.DataFrame([['Tom','2001','一班'], ['Jack','2002','二班'], ['Lucy','2003','二班'], ['Anny','2005','一班']], columns=['姓名','学号','班级'])

result = pd.concat([df1, df2], axis=1)

其中，`df1`和`df2`分别是需要拼接的两个DataFrame，`axis=1`表示沿着列的方向进行拼接。拼接后的结果存储在`result`变量中。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* *2* *3* [dataframe横向和纵向拼接](https://blog.csdn.net/Monkey_wang_/article/details/116245602)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 100%"]
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