I sliced a part of a dataframe to keep only two columns.
description_category = titles[['listed_in','description']]
the extract look like that
description_category.head()
Listed_in description
0 International TV Shows, TV Dramas, TV Sci-Fi &... In a future where the elite inhabit an island ...
1 Dramas, International Movies After a devastating earthquake hits Mexico Cit...
2 Horror Movies, International Movies When an army recruit is found dead, his fellow...
3 Action & Adventure, Independent Movies, Sci-Fi... In a postapocalyptic world, rag-doll robots hi...
4 Dramas A brilliant group of students become card-coun...
What I want to do is to put in [,] each theme in the column "Listed_in", so it looks like that :
listed_in description
0 [International TV Shows, TV Dramas, TV Sci-Fi ... In a future where the elite inhabit an island ...
1 [Dramas, International Movies] After a devastating earthquake hits Mexico Cit...
2 [Horror Movies, International Movies] When an army recruit is found dead, his fellow...
3 [Action & Adventure, Independent Movies, Sci-F... In a postapocalyptic world, rag-doll robots hi...
4 [Dramas] A brilliant group of students become card-coun...
I tried this, but it showed me a warning :
description_category['listed_in'] = description_category['listed_in'].apply(lambda x: x.split(', '))
Warning :
C:\Anaconda\envs\nlp_course\lib\site-packages\ipykernel_launcher.py:1: SettingWithCopyWarning:
A value is trying to be set on a copy of a slice from a DataFrame.
Try using .loc[row_indexer,col_indexer] = value instead
See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy
"""Entry point for launching an IPython kernel.
I check few threads on that issue, but I am still not able to fix it.
What do you suggest me to do?
Let me know if you need more background to my issue.
