Question

我具有以下具有以下架构的Pandas数据框：

df_1：
- id
- 标识符

在此处输入数据

 id identifier
    1   SQL
    2   JAVA
    3   C#

df_2：
- id
- string_resume
- string_long

在此处输入：

     id string_resume   string_long
1   Structured Query Language   SQL is a domain-specific language
2   Java is a general-purpose programming language  It is intended to let application developers “write once, run anywhere” (WORA)
3   PHP is a programming language   Usually it is used for Web Apps

我正在尝试加入以便查看标识符列是否属于string_resume或string_long。我在SQL中做了逻辑：

SELECT *
FROM df_1
INNER JOIN  df_2 ON
    df_1.id = df_2.id 
    AND (   df_2.string_resume LIKE '%' + df_1.identifier + '%'
        OR  df_2.string_long LIKE '%' + df_1.identifier + '%'
        )

在Python中，我尝试使用以下代码（合并），但它仅返回带有操作“ =”的内部联接。

res = pd.merge(df_1, df_2, left_on=['id', 'identifier'], right_on=['cod_system_log_event', 'string_resume', 'string_long'], how='left').drop('id', axis=1)

输出必须为：

  id    identifier  id  string_resume   string_long
    1   SQL 1   Structured Query Language   SQL is a domain-specific language used in programming
    2   JAVA    2   Java is a general-purpose programming language  It is intended to let application developers “write once, run anywhere” (WORA)

如何将上述SQL逻辑应用于Python？

非常感谢

Python-组合Like +'％'合并两个Pandas数据框

0 个答案: