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Python Data Visualization Cookbook (Second Edition)
book

Python Data Visualization Cookbook (Second Edition)

by Igor Milovanovic, Dimitry Foures, Giuseppe Vettigli
November 2015
Beginner to intermediate
302 pages
6h 17m
English
Packt Publishing
Content preview from Python Data Visualization Cookbook (Second Edition)

Defining axis lengths and limits

This recipe will demonstrate a variety of useful axis properties around limits and lengths that we can configure in matplotlib.

Getting ready

For this recipe, we want to fire up IPython:

$ ipython

After this, we need to import the plotting functions right away:

from matplotlib.pylab import *

How to do it...

Start experimenting with various properties of axes. Just calling an empty axis() function will return the default values for the axis:

In [1]: axis()
Out[1]: (0.0, 1.0, 0.0, 1.0)

Note that if you are in interactive mode and are using a windowing backend, a figure with an empty axis will be displayed.

Here the values represent xmin, xmax, ymin, and ymax respectively. Similarly, we can set values for the x and y ...

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Publisher Resources

ISBN: 9781784396695