matplotlib-users

 [Matplotlib-users] Using the same color range for multiple plots From: cneff - 2009-03-19 02:01:24 ```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? -- View this message in context: http://www.nabble.com/Using-the-same-color-range-for-multiple-plots-tp22592487p22592487.html Sent from the matplotlib - users mailing list archive at Nabble.com. ```
 Re: [Matplotlib-users] Using the same color range for multiple plots From: Eric Firing - 2009-03-19 02:34:32 ```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 ```