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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

Restructuring Data into a Tidy Form

In this chapter, we will cover the following topics:

  • Tidying variable values as column names with stack
  • Tidying variable values as column names with melt
  • Stacking multiple groups of variables simultaneously
  • Inverting stacked data
  • Unstacking after a groupby aggregation
  • Replicating pivot_table with a groupby aggregation
  • Renaming axis levels for easy reshaping
  • Tidying when multiple variables are stored as column names
  • Tidying when multiple variables are stored as column values
  • Tidying when two or more values are stored in the same cell
  • Tidying when variables are stored in column names and values
  • Tidying when multiple observational units are stored in the same table
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