Eric Firing wrote: > Xavier Gnata wrote: >> Hi, >> >> Imagine you have something like: >> >> from pylab import * >> t = arange(0.0, 2.0, 0.01) >> s = sin(2*pi*t) >> ax = subplot(111) >> ax.plot(t, s) >> >> That's fine but now I would like to plot the negative parts of the >> curve in red and the positive one in green. >> Is there a nice pylab oriented way to do that? Some kind of >> "conditional formating"? > > Not built in, but you can do it easily with masked arrays. See > http://matplotlib.sourceforge.net/examples/pylab_examples/masked_demo.html > > > It is not exactly what you want, but close: > > sneg = np.ma.masked_greater_equal(s, 0) > spos = np.ma.masked_less_equal(s, 0) > ax.plot(t, spos, 'g') > ax.plot(t, sneg, 'r') > > What this does not do is ensure that there is no gap where the line > crosses zero. For that, you would need to ensure that your sampling > of s(t) includes the zeros. > > Eric
It should do the trick because my sampling is very high. Xavier ------------------------------------------------------------------------------ Come build with us! The BlackBerry(R) Developer Conference in SF, CA is the only developer event you need to attend this year. Jumpstart your developing skills, take BlackBerry mobile applications to market and stay ahead of the curve. Join us from November 9 - 12, 2009. Register now! http://p.sf.net/sfu/devconference _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
