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How do I remove columns from a pandas DataFrame?

Written By Data School on Thursday, Apr 21, 2016 | 08:58 AM

 
If you have DataFrame columns that you're never going to use, you may want to remove them entirely in order to focus on the columns that you do use. In this video, I'll show you how to remove columns (and rows), and will briefly explain the meaning of the "axis" and "inplace" parameters. SUBSCRIBE to learn data science with Python: https://www.youtube.com/dataschool?sub_confirmation=1 JOIN the "Data School Insiders" community and receive exclusive rewards: https://www.patreon.com/dataschool == RESOURCES == GitHub repository for the series: https://github.com/justmarkham/pandas-videos "drop" documentation: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.drop.html == LET'S CONNECT! == Newsletter: https://www.dataschool.io/subscribe/ Twitter: https://twitter.com/justmarkham Facebook: https://www.facebook.com/DataScienceSchool/ LinkedIn: https://www.linkedin.com/in/justmarkham/

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