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LoginExtracting multiple values from a column to a new column in pandas
General Tech Technology & Software 2 years ago
Posted on 16 Aug 2022, this text provides information on Technology & Software related to General Tech. Please note that while accuracy is prioritized, the data presented might not be entirely correct or up-to-date. This information is offered for general knowledge and informational purposes only, and should not be considered as a substitute for professional advice.
Answers (2)
manpreet 2 years ago
I assume you mean you want a dataframe where the values in 'Category' are either 'Furniture' or 'Technology'. Here's something you can do.
df[df['Category'].isin(['Furniture ', 'Technology '])]If this isn't what you meant, perhaps you could clarify.
EDIT: Responding to your comment below:
df['Category_filter'] = df['Category'].where(df['Category'].isin(['Furniture ', 'Technology ']))No matter what stage you're at in your education or career, TuteeHub will help you reach the next level that you're aiming for. Simply,Choose a subject/topic and get started in self-paced practice sessions to improve your knowledge and scores.
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manpreet![Tuteehub forum best answer]()
Best Answer
2 years ago
I have a dataframe df having a column name Category and the values inside are
Category
Furniture
Technology
Office Supply
These three values are repeated having total of 1000 values in the column. I want to create a new column name Category_filter having values Furniture and Technology from the Category column.
I have tried the above code to create new column but not working.
This is the desired output