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.
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== RESOURCES ==
GitHub repository for the series: https://github.com/justmarkham/pandas...
"copy" documentation: http://pandas.pydata.org/pandas-docs/...
"loc" documentation: http://pandas.pydata.org/pandas-docs/...
Longer explanation of SettingWithCopyWarning: http://tomaugspurger.github.io/modern...
Returning a view versus a copy: http://pandas.pydata.org/pandas-docs/...
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