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09-01-2006, 10:49 PM
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Matplotlib - Introduction
While past versions of Vizard have been compatible with Matplotlib and other 3rd party add-on toolkits, R3 is pre-configured to make the process easy—just as if you were installing them on an official Python.org release.
Matplotlib is a combination of NumPy and PyLab that together gives you a very “Matlab” like environment for generating publication quality figures. You can output to raster formats (e.g., PNG, TIFF, JPG) immediately in a pop-up window or to vector (e.g, EPS, PS) formats that are saved as files. The style of graphs and syntax for creating them—especially when combined with the added Python language constructs through NumPy—will be very familiar to users of Matlab. Unfortunately, it seems versions across the different contributing packages is important so R3 requires a particular combination of these 3rd party packages. We’ve mirrored these downloads so that you don’t have to try and find them. These links and links to the packages home web pages are included below. Limitations: Displaying an interactive figure (i.e., using Matplotlib's show() command) is a blocking command and Vizard will halt until the window is closed. Saving figures to the disk does not have this problem, and raster formats can be read from disk and then displayed as textures if needed for certain scenarios. Installing
Configuring You need to modify lines 29 & 30 in the file called “matplotlibrc”, which is found in the Vizard30\bin\lib\site-packages\matplotlib\mpl-data folder. Change them to read: Code:
backend : WXAgg numerix : numpy # numpy, Numeric or numarray Restart Vizard, and then paste the following into an empty Vizard script window and run: Code:
from pylab import *
t = arange(0.0, 2.0, 0.01)
s = sin(2*pi*t)
plot(t, s, linewidth=1.0)
xlabel('time (s)')
ylabel('voltage (mV)')
title('About as simple as it gets, folks')
grid(True)
show()
Matplotlib Matplotlib’s homepage Useful tutorial More examples NumPy NumPy’s homepage Users guide 
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