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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

Moving spines to the center


This recipe will demonstrate how to move spines to the center.

Spines define data area boundaries; they connect the axis tick marks. There are four spines. We can place them wherever we want; by default, they are placed on the border of the axis, hence we see a box around our data plot.

How to do it...

To move the spines to the center of the plot, we need to remove two spines, making them hidden (set color to none). After that, we move two others to coordinate (0,0). The coordinates are specified in data space coordinates.

The following code shows how to do this:

import matplotlib.pyplot as plt
import numpy as np

x = np.linspace(-np.pi, np.pi, 500, endpoint=True)
y = np.sin(x)

plt.plot(x, y)

ax = plt.gca()

# hide two spines
ax.spines['right'].set_color('none')
ax.spines['top'].set_color('none')

# move bottom and left spine to 0,0
ax.spines['bottom'].set_position(('data',0))
ax.spines['left'].set_position(('data',0))

# move ticks positions
ax.xaxis.set_ticks_position...
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