© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022
A. DanialPython for MATLAB Developmenthttps://doi.org/10.1007/978-1-4842-7223-7_13

13. Tables and Dataframes

Albert Danial1  
(1)
Redondo Beach, CA, USA
 

The Pandas module for Python [2] came out in 2008, five years before the MathWorks added tables to MATLAB in the R2013b release. Since its release, Pandas has become a core tool for data scientists, financial analysts, statisticians, and machine learning specialists. A comprehensive discussion of Pandas is far beyond the scope of this book; instead, here we show the functional similarities and notational differences between Pandas dataframes and MATLAB tables.

Comma-separated value files are a frequent source ...

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