[Matplotlib-users] superimposition of Cartesian projection axis on a polar axis on the same position
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 -- BlackBerryreg; DevCon Americas, Oct. 18-20, San Francisco, CA Learn about the latest advances in developing for the BlackBerryreg; mobile platform with sessions, labs more. See new tools and technologies. Register for BlackBerryreg; DevCon today! http://p.sf.net/sfu/rim-devcon-copy1 ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] superimposition of Cartesian projection axis on a polar axis on the same position
On Wed, Sep 14, 2011 at 3:08 PM, Youngung Jeong youngung.je...@gmail.comwrote: 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 There are some ways to do this, but I haven't tried them myself. http://matplotlib.sourceforge.net/mpl_toolkits/axes_grid/users/axislines.html Ben Root -- BlackBerryreg; DevCon Americas, Oct. 18-20, San Francisco, CA Learn about the latest advances in developing for the BlackBerryreg; mobile platform with sessions, labs more. See new tools and technologies. Register for BlackBerryreg; DevCon today! http://p.sf.net/sfu/rim-devcon-copy1 ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] superimposition of Cartesian projection axis on a polar axis on the same position
On Thu, Sep 15, 2011 at 5:08 AM, Youngung Jeong youngung.je...@gmail.com wrote: But it only gives one axis added to 'fig.axes'. Is there any work-around? Or am I missing some other feature of matplotlib? Somehow, this is not clearly documented for the subplot command. You need to use label parameter to create multiple axes at a same position (for more details, http://matplotlib.sourceforge.net/api/figure_api.html#matplotlib.figure.Figure.add_axes) axr=fig.add_subplot(1,1,1, label=r) axp=fig.add_subplot(1,1,1,projection='polar', label=p) Regards, -JJ -- Doing More with Less: The Next Generation Virtual Desktop What are the key obstacles that have prevented many mid-market businesses from deploying virtual desktops? How do next-generation virtual desktops provide companies an easier-to-deploy, easier-to-manage and more affordable virtual desktop model.http://www.accelacomm.com/jaw/sfnl/114/51426474/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] superimposition of Cartesian projection axis on a polar axis on the same position
On Thu, Sep 15, 2011 at 6:18 AM, Benjamin Root ben.r...@ou.edu wrote: There are some ways to do this, but I haven't tried them myself. http://matplotlib.sourceforge.net/mpl_toolkits/axes_grid/users/axislines.html Ben Root You may better stick to the subplot with polar projection if your original data is in polar coordinate. The axislines module basically assumes that your data is in rectlinear coordinate system. It only draws the gridlines and labels in curvelinear system (although you can combine both). Regards, -JJ -- Doing More with Less: The Next Generation Virtual Desktop What are the key obstacles that have prevented many mid-market businesses from deploying virtual desktops? How do next-generation virtual desktops provide companies an easier-to-deploy, easier-to-manage and more affordable virtual desktop model.http://www.accelacomm.com/jaw/sfnl/114/51426474/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] superimposition of Cartesian projection axis on a polar axis on the same position
On Thu, Sep 15, 2011 at 5:08 AM, Youngung Jeong youngung.je...@gmail.com wrote: but since contour function does not plot on the polar coordinate system I think this is not True, but I may misunderstood you. Can you post an example that does not work? Here is a simple example that shows it does work. But I hardly use polar coordinate, and my example could be too simple. ax = subplot(111, polar=True) aa = np.indices((10,10)) x = np.linspace(0., np.pi*2, 10) y = np.linspace(0., 10, 10) ax.pcolormesh(x, y, aa[0], cmap=gray) ax.contour(x, y, aa[0]) Both pcolormesh and contour gives a consistent result. However, I think, while the resulting contour lines are drawn in polar coordinate system, the actual contouring is done in rectlinear cooridinate system. So there may be some caveats. Regards, -JJ -- Doing More with Less: The Next Generation Virtual Desktop What are the key obstacles that have prevented many mid-market businesses from deploying virtual desktops? How do next-generation virtual desktops provide companies an easier-to-deploy, easier-to-manage and more affordable virtual desktop model.http://www.accelacomm.com/jaw/sfnl/114/51426474/ ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
