Matplotlib, Release 2.1.0
ax.plot([1,2,3])
canvas = FigureCanvas(fig) # a gtk.DrawingArea
vbox.pack_start(canvas)
toolbar = NavigationToolbar(canvas, win)
vbox.pack_start(toolbar, False, False)
win.show_all()
gtk.main()
3.2 Using matplotlib in a python shell
Warning: This page is significantly out of date
By default, matplotlib defers drawing until the end of the script because drawing can be an expensive oper-
ation, and you may not want to update the plot every time a single property is changed, only once after all
the properties have changed.
But when working from the python shell, you usually do want to update the plot with every command, e.g.,
after changing the xlabel(), or the marker style of a line. While this is simple in concept, in practice it
can be tricky, because matplotlib is a graphical user interface application under the hood, and there are some
tricks to make the applications work right in a python shell.
3.2.1 IPython to the rescue
Note: The mode described here still exists for historical reasons, but it is highly advised not to use. It
pollutes namespaces with functions that will shadow python built-in and can lead to hard to track bugs.
To get IPython integration without imports the use of the %matplotlib magic is preferred. See ipython
documentation .
Fortunately, ipython, an enhanced interactive python shell, has figured out all of these tricks, and is mat-
plotlib aware, so when you start ipython in the pylab mode.
johnh@flag:~> ipython
Python 2.4.5 (#4, Apr 12 2008, 09:09:16)
IPython 0.9.0 -- An enhanced Interactive Python.
In [1]: %pylab
Welcome to pylab, a matplotlib-based Python environment.
For more information, type 'help(pylab)'.
In [2]: x = randn(10000)
16 Chapter 3. Interactive plots
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