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Matplotlib for Python Developers

You're reading from   Matplotlib for Python Developers Effective techniques for data visualization with Python

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788625173
Length 300 pages
Edition 2nd Edition
Languages
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Authors (3):
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Claire Chung Claire Chung
Author Profile Icon Claire Chung
Claire Chung
Aldrin Yim Aldrin Yim
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Aldrin Yim
Allen Yu Allen Yu
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Allen Yu
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Toc

Table of Contents (11) Chapters Close

Preface 1. Introduction to Matplotlib 2. Getting Started with Matplotlib FREE CHAPTER 3. Decorating Graphs with Plot Styles and Types 4. Advanced Matplotlib 5. Embedding Matplotlib in GTK+3 6. Embedding Matplotlib in Qt 5 7. Embedding Matplotlib in wxWidgets Using wxPython 8. Integrating Matplotlib with Web Applications 9. Matplotlib in the Real World 10. Integrating Data Visualization into the Workflow

Summary


In this chapter, you learned how to parse online data in CSV or JSON formats using the versatile pandas package. You further learned how to filter, subset, merge, and process data into insights. Finally, you learned how to scrape information directly from websites. You have now equipped yourself with the knowledge to visualize time series, univariate, and bivariate data. The chapter concluded with a number of useful techniques to customize figure aesthetics for effective storytelling.

Phew! We have just completed a long chapter, so go grab a burger, have a break, and relax.

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