As stated in the title I have a pandas data frame with string sentences in the column "title". I know want to filter all rows, where the title column contains one of the words specified in the list "keywords".
keywords = ["Simon", "Mustermann"]
|Simon is a python beginner||…|
Since "Simon" is found in rows with index 0 and 2, they should be retained.
My code atm is the following:
new_df = df[df["title"].isin(keywords)]
However, it only contains the third row but not the first one. How can I fix this? Thanks a lot for your support and time!
This snippet should work for you
keywords = ["Simon", "Mustermann"] # filter rows where column title contains one of the keywords df_filtered = df[df["title"].str.contains("|".join(keywords))]