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Use Categorical data to Save Time and Space

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Did you ever find yourself in the situation, where you wanted to process a larger DataFrame and the operations seem to hang up for more than a few seconds? Then you may want to try out one of Pandas powerful features: The Categorical dtype. In this lesson you’ll learn how to make use of the Categorical dtype to save you time and space.

Matt Williams on Aug. 18, 2020

Seems like the to_datetime method which was used to re-index the dataframe in the 5th video was able to parse the YYYY-MM-DD format on its own. Is this explicitly true, or does that method require data to be supplied in that order?

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