Drop pandas column or row // Solve ERROR for pandas drop not found in axis!
Did you get a key error when you tried to drop a column from your pandas dataframe? Try this! In this video, I demonstrate how to use pandas drop to get rid of a column or a row of your dataframe. You'll learn how to use the axis or columns options to solve the pandas drop key error and successfully drop a pandas column by name. Then you can level up your skills by using Python pandas to drop multiple columns by supplying a list to the columns argument. You can also make your changes permanent by using the inplace argument with the pandas drop method. Whether you need to use pandas to drop a single column by name or use pandas to drop multiple columns, this video has you covered. Be sure to check out other videos in this "Pandas Tips" series for more helpful tips about other Python pandas functions and methods.
0:00 Introduction
0:30 Set up and load data
1:05 Common drop error
1:53 Two ways to drop a column
2:38 Drop a row
4:03 Level UP! Drop multiple columns
4:54 Save changes with inplace
6:28 Conclusion & Bloooper
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