Hello, and thank you for this answer. I do not care that much of the colorbar, i added it to make sure the range actually started at 0. I used the contour function to that purpose too i.e. to show that my function actally ranged from 0 to 100.
Removing both colorbar and contour, i have the same result. I finally found a solution to this : i changed the backend in .matplotlibrc from GTK to GTKAgg, and it works. thanks again for answering! best -- RHENOVIA - Arnaud LEGENDRE. Le lundi 05 décembre 2011 à 20:04 -1000, Eric Firing a écrit : > On 12/05/2011 10:00 AM, Arnaud wrote: > > Hello, > > > > I am new to this list, but not totally to matplotlib. > > I installed v1.1.0 lately, and i noticed that something went wrong (or, > > not as before) with fcontour(). > > It looks like the range of colors used to fill in, is not set correctly. > > Sorry, i cannot really tel it better, but i have a piece of source code, > > that highlights the phenomenon : > > Try removing the call to contour; it is not doing you any good, at least > in this example. You are passing its ContourSet return object to your > colorbar call, so your colorbar is showing the contour lines, not the > continuous range of colors, which I think is what you want. > > You can show both contourf colors and contour lines on a colorbar, if > you do want that; see > http://matplotlib.sourceforge.net/examples/pylab_examples/contourf_demo.html > > Eric > > > > > #!/usr/bin/python > > import os > > import sys > > from pylab import * > > > > # parameters we bach on > > x = linspace(-10,10,30) > > y = linspace(-4,4,30) > > X,Y = meshgrid(x,y) > > F = 0.5*X**2 + (7*Y**2)/2 > > > > fig = figure(num=None, figsize=(6, 6), dpi=80, facecolor='#666666', > > edgecolor='k') > > > > ax = fig.gca() > > > > cmap=get_cmap('reds') > > plage = arange(0,100,1) > > surf = contourf(X,Y,F, plage) > > plage = arange(0,100,2) > > surf = contour(X,Y,F, plage, linewidths=2) > > > > ax.grid(True) > > fig.colorbar(surf, shrink=0.5, aspect=5) > > axis([x.min(),x.max(),y.min(),y.max()]) > > > > show() > > > > > > I ran it with pyV2.6/matplotlibV0.99.1, and it behaves differently with > > pyV2.7/matplotlibV1.1.0 . > > > > Could you confirm that on your computer, if this is an expected > > behaviour, and, if not, if you have an idea about how to fix it ? > > > > thanks a lot, > > Arnaud. > > > > > > > > > > ------------------------------------------------------------------------------ > > All the data continuously generated in your IT infrastructure > > contains a definitive record of customers, application performance, > > security threats, fraudulent activity, and more. Splunk takes this > > data and makes sense of it. IT sense. And common sense. > > http://p.sf.net/sfu/splunk-novd2d > > _______________________________________________ > > Matplotlib-users mailing list > > Matplotlib-users@lists.sourceforge.net > > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > > ------------------------------------------------------------------------------ > Cloud Services Checklist: Pricing and Packaging Optimization > This white paper is intended to serve as a reference, checklist and point of > discussion for anyone considering optimizing the pricing and packaging model > of a cloud services business. Read Now! > http://www.accelacomm.com/jaw/sfnl/114/51491232/ > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users ------------------------------------------------------------------------------ Cloud Services Checklist: Pricing and Packaging Optimization This white paper is intended to serve as a reference, checklist and point of discussion for anyone considering optimizing the pricing and packaging model of a cloud services business. Read Now! http://www.accelacomm.com/jaw/sfnl/114/51491232/ _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users