cneff wrote: > Hi guys, > > I've tried to google this and look through the examples but its not quite > working for me. Say I have two sets of data I want to make contour plots out > of > > from pylab import * > > x=arange(-3.0,3.0,.025) > > y=arange(-2.0,2.0,.025) > > X,Y = meshgrid(x,y) > > Z1 = mlab.bivariate_normal(X, Y, 1.0, 1.0, 0.0, 0.0) > Z2 = mlab.bivariate_normal(X, Y, 1.5, 0.5, 1, 1) > > Now if I would go > > plt1 = subplot(211) > contourf(X,Y,Z1) > colorbar() > > plt2 = subplot(212) > contourf(X,Y,Z2) > colorbar() > > we would see that the same colors correspond to different numerical values, > because the ranges of Z1 and Z2 are different. I want it to be defined on > the same range, so that red on plt1 corresponds to the same numerical Z > value as red on plt2. How do I go about doing that?
Instead of relying on autoscaling to set the color levels, set them explicitly to the same set of values in both calls to contourf by adding a fourth argument. e.g. levs = arange(0,1.01,0.1) ... contourf(X, Y, Z1, levs) ... contourf(X, Y, Z2, levs) ... Eric ------------------------------------------------------------------------------ Apps built with the Adobe(R) Flex(R) framework and Flex Builder(TM) are powering Web 2.0 with engaging, cross-platform capabilities. Quickly and easily build your RIAs with Flex Builder, the Eclipse(TM)based development software that enables intelligent coding and step-through debugging. Download the free 60 day trial. http://p.sf.net/sfu/www-adobe-com _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
