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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
Author Profile Icon Allen Yu
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

Image plotting

In analyzing images, the first step is to convert colors into numerical values. Matplotlib provides APIs to read and show an image matrix of RGB values. 

The following is a quick code example of reading an image into a NumPy array with plt.imread('image_path'), and we show it with plt.imshow(image_ndarray). Make sure that the Pillow package is installed so that more image types other than PNG can be handled:

import matplotlib.pyplot as plt
# Source image downloaded under CC0 license: Free for personal and commercial use. No attribution required.
# Source image address: https://pixabay.com/en/rose-pink-blossom-bloom-flowers-693155/
img = plt.imread('ch04.img/mpldev_ch04_rose.jpg')
plt.imshow(img)

Here is the original image displayed with the preceding code:

After showing the original image, we will try to work with transforming...

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