Density plots from matlab to matplotlib

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Since some years ago I use matlab for my plots (mostly density plots), but now I want to change to matplotlib. I have a problem trying to figure out how to get analogous plots in matplotlib. I have to represent a 2D array. In matlab I used to use the surf function, and then change to view(2) (az=0 and el=90). An example:

surf(X,Y,log10(z),'FaceColor','interp','EdgeColor','none')
view(2)

In matplotlib I have tried some functions, but I have not got the same feeling. m3plot is a computationally expensive toolkit and it is not the same as using surf. imshow does not allow to use log functions in his arguments (like the example), and log values is something mandatory for me. Then it is pcolor, but I can not find a 'FaceColor'-like option to smooth the edges. I would like to know if someone knows what is the best equivalent in matplotlib. Thank you for your time!

2
pythonmatlabmatplotlibplotdensity-plot
You are wrong about imshow, imshow(log(z)) will work just fine. You can also have the color mapper do the log-mapping for you. - tacaswell
stackoverflow.com/questions/9455044/… - tacaswell
stackoverflow.com/questions/2546475/… - tacaswell

2 Answers

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Try installing mayavi which has the surf function (mayavi is a fully-blown 3D visualisation library using hardware acceleration)

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Finally, the solution that suits me is to use the routine pcolormesh(). This combined with the option shading='gouraud' interpolates the data and smooth the edges. In addition, it works pretty well with large arrays in comparision with pcolor.