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Matplotlib for Python Developers

You're reading from   Matplotlib for Python Developers Python developers who want to learn Matplotlib need look no further. This book covers it all with a practical approach including lots of code and images. Take this chance to learn 2D plotting through real-world examples.

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Product type Paperback
Published in Nov 2009
Publisher Packt
ISBN-13 9781847197900
Length 308 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (14) Chapters Close

Matplotlib for Python Developers
Credits
About the Author
About the Reviewers
1. Preface
1. Introduction to Matplotlib FREE CHAPTER 2. Getting Started with Matplotlib 3. Decorate Graphs with Plot Styles and Types 4. Advanced Matplotlib 5. Embedding Matplotlib in GTK+ 6. Embedding Matplotlib in Qt 4 7. Embedding Matplotlib in wxWidgets 8. Matplotlib for the Web 9. Matplotlib in the Real World

Grid, axes, and labels


Now we can learn about some features that we can add to plots, and some features to control them better.

Adding a grid

In the previous images, we saw that the background of the figure was completely blank. While it might be nice for some plots, there are situations where having a reference system would improve the comprehension of the plot—for example with multiline plots. We can add a grid to the plot by calling the grid() function; it takes one parameter, a Boolean value, to enable (if True ) or disable (if False) the grid:

In [1]: import matplotlib.pyplot as plt
In [2]: import numpy as np
In [3]: x = np.arange(1, 5)
In [4]: plt.plot(x, x*1.5, x, x*3.0, x, x/3.0)
Out[4]:
[<matplotlib.lines.Line2D object at 0x8fcc20c>,
<matplotlib.lines.Line2D object at 0x8fcc50c>,
<matplotlib.lines.Line2D object at 0x8fcc84c>]
In [5]: plt.grid(True)
In [6]: plt.show()

We can see the grid in the following screenshot, as a result of executing the preceding code:

Handling...

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