matplotlib is pretty good, including documentation and examples, http://matplotlib.sourceforge.net/
import matplotlib, pylab x = [...] # list or numpy.array y = [...] color = [...] pylab.scatter(x, y, s=40, c=colors) # s = size, c = color vector pylab.show() On Thu, Sep 15, 2011 at 3:31 AM, Laura Creighton <l...@openend.se> wrote: > > I'd like to make a presentation where I have a series of > (informational) points to make, each of which is associated with a > cartesian (x, y) coordinate in a scatter plot. (It's Charles Perrow's > graph from 'Normal Accidents' that plots 'coupling (from loose to > tight)' vs 'complexity of interactions'. In the graph 'loose' is -y, > tight is +y, while complexity increases not from 0 to some maximum > value but from -x to +x. This gives you a separation of data into 4 > quadrants, which is how Perrow wants to talk about them. So, ideally > I would like to show an empty x and y axis, then click the button of > my mouse, have one point show up, which I talk about for a bit, and > then with successive clicks I can add more and more points to the > graph. > > I would have thought that software to do this was common, but either > I am picking the wrong words to search for, or this is not the case. > Are any of you doing this already? and in that case, what do you use? > > Laura > > _______________________________________________ > Edu-sig mailing list > Edu-sig@python.org > http://mail.python.org/mailman/listinfo/edu-sig >
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