Hi, I have x-y grid data with z values and want to have a pixel view and contour view at the same time on the same position. Both cases should have polar coordinate system but since contour function does not plot on the polar coordinate system, it is plotted on a rectilinear projection with converting the polar grid into x-y grid. Please let me know if this isn't true.
For pixel view, pcolormesh was used. The subplot was added with specifying the projection='polar', as something like below: >>> axp=fig.add_subplot(1,1,1,projection='polar') >>> axr=fig.add_subplot(2,2,1) Then, I will have two independent axes shown in the figure canvas. Since I want to place the two axes on the same position, if allowed, I would like to do: >>> axp=fig.add_subplot(1,1,1,projection='polar') >>> axr=fig.add_subplot(1,1,1) But it only gives one axis added to 'fig.axes'. Is there any work-around? Or am I missing some other feature of matplotlib? Youngung
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