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You will often want to rename the columns of a DataFrame so that their names are descriptive, easy to type, and don't contain any spaces. In this video, I'll demonstrate three different strategies for renaming columns so that you can choose the best strategy to fit your particular situation. 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 "rename" documentation: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.rename.html "read_csv" documentation: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_csv.html "str.replace" documentation: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.str.replace.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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