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Foundational Python for Data Science
book

Foundational Python for Data Science

by Kennedy Behrman
September 2021
Beginner to intermediate
256 pages
6h 48m
English
Addison-Wesley Professional
Content preview from Foundational Python for Data Science

9

Pandas

To clarify, *add* data.

Edward R. Tufte

In This Chapter

The Pandas DataFrame, which is built on top of the NumPy array, is probably the most commonly used data structure. DataFrames are like supercharged spreadsheets in code. They are one of the primary tools used in data science. This chapter looks at creating DataFrames, manipulating DataFrames, accessing data in DataFrames, and manipulating that data.

About DataFrames

A Pandas DataFrame, like a spreadsheet, is made up of columns and rows. Each column is a pandas.Series object. A DataFrame is, in some ways, similar to a two-dimensional ...

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Publisher Resources

ISBN: 9780136624417