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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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Table of Contents (12) Chapters Close

Preface 1. Pandas Foundations 2. Essential DataFrame Operations FREE CHAPTER 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

Ordering column names sensibly

One of the first tasks to consider after initially importing a dataset as a DataFrame is to analyze the order of the columns. This basic task is often overlooked but can make a big difference in how an analysis proceeds. Computers have no preference for column order and computations are not affected either. As human beings, we naturally view and read columns left to right, which directly impacts our interpretations of the data. Haphazard column arrangement is similar to haphazard clothes arrangement in a closet. It does no good to place suits next to shirts and pants on top of shorts. It's far easier to find and interpret information when column order is given consideration.

There are no standardized set of rules that dictate how columns should be organized within a dataset. However, it is good practice to develop a set of guidelines that you...

You have been reading a chapter from
Pandas Cookbook
Published in: Oct 2017
Publisher: Packt
ISBN-13: 9781784393878
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