Categorical Data in Pandas Cheatsheet

A one-page pandas categoricals reference, every snippet explained line by line: the category dtype, categories and codes, ordered comparisons, category management, the cleaning pipeline, label and one-hot encoding, and catplot.

A category column stores each distinct value once in a lookup table and replaces the data with small integer codes, which buys memory savings, meaningful ordering, and cleaner grouping and encoding. This cheatsheet gathers the whole toolkit on one page, from the .cat accessor to the clean-then-convert pipeline and both ML encodings, each snippet annotated line by line. Keep it open while you work, or save the image and pin it nearby.

For the full background, read the guide to categorical data in pandas. To practise, work through the 10 code-along examples.

Download the cheatsheet

Hope this is useful.

View Comments (2)

Leave a Reply

Prev Next

Subscribe to My Newsletter

Subscribe to my email newsletter to get the latest posts delivered right to your email. Pure inspiration, zero spam.

Discover more from Discuss Data Science, Machine Learning and Analytics

Subscribe now to keep reading and get access to the full archive.

Continue reading