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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
Languages
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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 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

Visualization with Matplotlib, Pandas, and Seaborn

In this chapter, we will cover the following topics:

  • Getting started with matplotlib
  • Visualizing data with matplotlib
  • Plotting basics with pandas
  • Visualizing the flights dataset
  • Stacking area charts to discover emerging trends
  • Understanding the differences between seaborn and pandas
  • Doing multivariate analysis with seaborn grids
  • Uncovering Simpson's paradox in the diamonds dataset with seaborn
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