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Pandas Cookbook

You're reading from   Pandas Cookbook Recipes for Scientific Computing, Time Series Analysis and Data Visualization using Python

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Product type Paperback
Published in Oct 2017
Publisher Packt
ISBN-13 9781784393878
Length 532 pages
Edition 1st Edition
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Author (1):
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Theodore Petrou Theodore Petrou
Author Profile Icon Theodore Petrou
Theodore Petrou
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Toc

Table of Contents (12) Chapters Close

Preface 1. Pandas Foundations FREE CHAPTER 2. Essential DataFrame Operations 3. Beginning Data Analysis 4. Selecting Subsets of Data 5. Boolean Indexing 6. Index Alignment 7. Grouping for Aggregation, Filtration, and Transformation 8. Restructuring Data into a Tidy Form 9. Combining Pandas Objects 10. Time Series Analysis 11. Visualization with Matplotlib, Pandas, and Seaborn

Transposing the direction of a DataFrame operation

Many DataFrame methods have an axis parameter. This important parameter controls the direction in which the operation takes place. Axis parameters can only be one of two values, either 0 or 1, and are aliased respectively as the strings index and columns.

Getting ready

Nearly all DataFrame methods default the axis parameter to 0/index. This recipe shows you how to invoke the same method, but with the direction of its operation transposed. To simplify the exercise, only the columns that reference the percentage race of each school from the college dataset will be used.

How to do...

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