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You're reading from  Pandas 1.x Cookbook - Second Edition

Product typeBook
Published inFeb 2020
Reading LevelBeginner
PublisherPackt
ISBN-139781839213106
Edition2nd Edition
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Authors (2):
Matt Harrison
Matt Harrison
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Matt Harrison

Matt Harrison is an author, speaker, corporate trainer, and consultant. He authored the popular Learning the Pandas Library and Illustrated Guide to Python 3. He runs MetaSnake, which provides corporate and online training on Python and Data Science. In addition, he offers consulting services. He has worked on search engines, configuration management, storage, BI, predictive modeling, and in a variety of domains.
Read more about Matt Harrison

Theodore Petrou
Theodore Petrou
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Theodore Petrou

Theodore Petrou is the founder of Dunder Data, a training company dedicated to helping teach the Python data science ecosystem effectively to individuals and corporations. Read his tutorials and attempt his data science challenges at the Dunder Data website.
Read more about Theodore Petrou

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Producing Cartesian products

Whenever a Series or DataFrame operates with another Series or DataFrame, the indexes (both the row index and column index) of each object align first before any operation begins. This index alignment happens behind the scenes and can be very surprising for those new to pandas. This alignment always creates a Cartesian product between the indexes unless the indexes are identical.

A Cartesian product is a mathematical term that usually appears in set theory. A Cartesian product between two sets is all the combinations of pairs of both sets. For example, the 52 cards in a standard playing card deck represent a Cartesian product between the 13 ranks (A, 2, 3,…, Q, K) and the four suits.

Producing a Cartesian product isn't always the intended outcome, but it's essential to be aware of how and when it occurs so as to avoid unintended consequences. In this recipe, two Series with overlapping but non-identical indexes are added together...

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Pandas 1.x Cookbook - Second Edition
Published in: Feb 2020Publisher: PacktISBN-13: 9781839213106

Authors (2)

author image
Matt Harrison

Matt Harrison is an author, speaker, corporate trainer, and consultant. He authored the popular Learning the Pandas Library and Illustrated Guide to Python 3. He runs MetaSnake, which provides corporate and online training on Python and Data Science. In addition, he offers consulting services. He has worked on search engines, configuration management, storage, BI, predictive modeling, and in a variety of domains.
Read more about Matt Harrison

author image
Theodore Petrou

Theodore Petrou is the founder of Dunder Data, a training company dedicated to helping teach the Python data science ecosystem effectively to individuals and corporations. Read his tutorials and attempt his data science challenges at the Dunder Data website.
Read more about Theodore Petrou