Replacing values in a Pandas data frame

Want to replace values in a Pandas data frame? Use the "replace" method. But did you know that "replace" can be invoked in a number of different ways, allowing you to specify multiple values — and even replace different values in different columns? In this video, I show you how to achieve just that, using a variety of different methods.

The Jupyter notebook from this video, and all of my videos, is at GitHub: https://github.com/reuven/youTube-notebooks

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