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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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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

Drawing Subplots

In designing layouts of visual aids, it is often necessary to organize multiple relevant plots into panels in the same figure, such as when illustrating different aspects of the same dataset. Matplotlib provides a few ways to create figures with multiple subplots.

Initiating a figure with plt.figure()

The plt.figure() API is the API that is used to initiate a figure that serves as the base canvas. It takes in arguments that determines the number of figures and parameters such as size and background color of the plot image. It displays a new area as the canvas for plotting axes when called. We wouldn't obtain any graphical output unless we add other plotting elements. If we were...

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