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Python Data Visualization Cookbook (Second Edition)

You're reading from   Python Data Visualization Cookbook (Second Edition) Visualize data using Python's most popular libraries

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Product type Paperback
Published in Nov 2015
Publisher
ISBN-13 9781784396695
Length 302 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (11) Chapters Close

Preface 1. Preparing Your Working Environment FREE CHAPTER 2. Knowing Your Data 3. Drawing Your First Plots and Customizing Them 4. More Plots and Customizations 5. Making 3D Visualizations 6. Plotting Charts with Images and Maps 7. Using the Right Plots to Understand Data 8. More on matplotlib Gems 9. Visualizations on the Clouds with Plot.ly Index

Displaying images with other plots in the figure


This recipe will show how we can make simple yet effective usage of Python matplotlib library to process image channels and display the per-channel histogram of an external image.

Getting ready

We have provided some sample images, but the code is ready to load any image file, provided it is supported by matplotlib's imread function.

In this recipe, you will learn how to combine different matplotlib plots to achieve functionality of a simple image viewer that displays an image histogram for red, green, and blue channels.

How to do it...

To show how to build an image histogram viewer, we are going to implement a simple class named ImageViewer, and that class will contain helper methods to:

  1. Load image.

  2. Separate RGB channels from image matrix.

  3. Configure figure and axes (subplots).

  4. Plot channel histograms.

  5. Plot the image.

The following code shows how to build an image histogram viewer:

import matplotlib.pyplot as plt
import matplotlib.image as mplimage
import...
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