I have a df which has 1 column
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
I have other dataframe df2
which has 2 columns
original correct
0 are were
1 sunset sunrise
2 I we
3 right correct
4 is was
I want to replace such words in my df,which occurs in original
column of my df2 and replace with corresponding words in correct
column. and store the new strings in other dataframe df_new
Is it possible without using loops and iteration, and only using plain pandas concept?
ie my df_new
should contain.
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
Also this is just a test example, MY df
MIGHT CONTAIN millions of rows of string, and so my df2, What would be the most efficient solution path i can go on?
One of many possible solutions:
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
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