用其他数据框熊猫中的相应单词替换数据框中的字符串行

Question

我有一个1列的df

     List
 0   What are you trying to achieve
 1   What is your purpose right here
 2   When students don’t have a proper foundation
 3   I am going to DESCRIBE a sunset

我还有其他数据框df2

有两列

    original       correct
0     are          were
1     sunset       sunrise
2     I            we
3     right        correct
4     is           was

我想在df2的original列中替换df中的此类单词，并在correct列中替换为相应的单词。 并将新字符串存储在其他数据帧df_new

是否可以不使用循环和迭代，而只能使用普通的熊猫概念？

即我的df_new应该包含。

     List
 0   What were you trying to achieve
 1   What was your purpose correct here
 2   When students don’t have a proper foundation
 3   we am going to DESCRIBE a sunrise

同样，这只是一个测试示例，我的df数百万行的字符串，所以我的df2，我可以采用的最有效的解决方案是什么？

Answer 1

许多可能的解决方案之一：

In [371]: boundary = r'\b'
     ...:
     ...: df.List.replace((boundary + df2.orignal + boundary).values.tolist(),
     ...:                 df2.correct.values.tolist(),
     ...:                 regex=True)
     ...:
Out[371]:
0                  What were you trying to achieve
1               What was your purpose correct here
2     When students don’t have a proper foundation
3                we am going to DESCRIBE a sunrise
Name: List, dtype: object