Data analysis in Python with pandas - How do I avoid a SettingWithCopyWarning in pandas?

If you've been using pandas for a while, you've likely encountered a SettingWithCopyWarning. The proper response is to modify your code appropriately, not to turn off the warning! In this video, I'll show you two common scenarios in which this warning arises, explain why it's occurring, and then demonstrate how to address it. 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 "copy" documentation: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.copy.html "loc" documentation: http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.loc.html Longer explanation of SettingWithCopyWarning: http://tomaugspurger.github.io/modern-1.html Returning a view versus a copy: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy == 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/