Kenshi, I'm sorry that I completely forgot about this issue.
I just took a look and it seems to be due to a bug in clabel routine. The fix is easy and I'll commit it soon. Meanwhile, here is a work around. Basically, you need to draw a contour in "ax3", not in "aux_ax3". First of all, you can populate Z without for loops (note that I changed X, Y to Theta, R). Theta, R = meshgrid(theta, r) Z = (Theta/90.)**2 + (R-2)**2 Now, instead of aux_ax3.contour, use CS = aux_contour(aux_ax3, Theta, R, Z,levels,colors='k') where aux_contour is defined as def aux_contour(aux_ax, aux_X, aux_Y, Z, *kl, **kwargs): ax = aux_ax._parent_axes shape_orig = Theta.shape TR = np.array([aux_X, aux_Y]).reshape((2, -1)).transpose() # coordinates in aux_ax XY = aux_ax.transAux.transform(TR) # coordinates in ax X, Y = XY.transpose().reshape((2, shape_orig[0], shape_orig[1])) CS = ax.contour(X, Y, Z, *kl, **kwargs) return CS And do clabel with the original axes (ax3). use_clabeltext will help the labels aligned with contour lines. ax3.clabel(CS,fontsize=10, use_clabeltext=True) A complete example is attached. Regards, -JJ On Fri, Sep 17, 2010 at 7:34 PM, Kenshi hibino <hib...@kugi.kyoto-u.ac.jp> wrote: > > > Jae-Joon Lee wrote: >> >> >> Another option is to use mpl_toolkits.axisartist (distributed with mpl >> 1.0). However, learning curve of the axisartist is also steep. You may >> play around with the last figure in the example below. >> >> http://matplotlib.sourceforge.net/examples/axes_grid/demo_floating_axes.html >> >> > > Jae-Joon, > Thanks for the quick reply and good advice. > > Second option you recommended is seemed to work well. > My code modified from example is attached. > > But, in semi-circle domain I can't write contour label using clabel(). > Do you know the reason why? http://old.nabble.com/file/p29737063/test2.py > test2.py > > For reference my system is python(x,y) on Windows and mpl version is 1.0 > > Thanks again. > > Kenshi > -- > View this message in context: > http://old.nabble.com/contour-plot-in-semi-circle-domain-tp29699332p29737063.html > Sent from the matplotlib - users mailing list archive at Nabble.com. > > > ------------------------------------------------------------------------------ > Start uncovering the many advantages of virtual appliances > and start using them to simplify application deployment and > accelerate your shift to cloud computing. > http://p.sf.net/sfu/novell-sfdev2dev > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users >
tererer.py
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