Doing this in a general way is quite difficult (if possible) because a user can set an arbitrary transform for an artist. What we may try to do is recycling artists whose transform is simple, e.g., transData, rather than try to come up with a general solution.
I'll see what I can do but I must admit that I'm not very kin to this kind of feature and it may take a while. I recommend you to open a new ticket in the feature requests tracker hoping that other developers or contributors can take a look. http://sourceforge.net/tracker/?atid=560723&group_id=80706&func=browse Regards, -JJ On Mon, Mar 29, 2010 at 1:54 PM, Thomas Robitaille <thomas.robitai...@gmail.com> wrote: > Hi Jae-Joon, > > Thanks for your quick reply! Since for example LineCollections can be created > independent of the Axes in which they are going to be plotted through the > creation of a LineCollection instance, would it not be possible to have a > method that allows one to retrieve an Axes-independent LineCollection from an > Axes instance? (for example a get_collection method) This would then allow > one to 'recycle' existing collections. > > Cheers, > > Thomas > > On Mar 29, 2010, at 1:40 PM, Jae-Joon Lee wrote: > >> As far as I can say, moving around artists from one axes to the other >> is NOT recommended. And I encourage you to create separate artists for >> each axes rather than try to reuse the existing ones. >> >> For your particular example, >> >> fig = mpl.figure() >> ax2 = fig.add_subplot(1,1,1) >> for c in ax1.collections: >> c._transOffset=ax2.transData >> ax2.add_collection(c) >> >> should work. >> >> Regards, >> >> -JJ >> >> >> >> >> On Mon, Mar 29, 2010 at 12:24 PM, Thomas Robitaille >> <thomas.robitai...@gmail.com> wrote: >>> Hello, >>> >>> In the following example, I am trying to copy over existing collections >>> from one plot to another: >>> >>> import matplotlib.pyplot as mpl >>> >>> fig = mpl.figure() >>> ax1 = fig.add_subplot(1,1,1) >>> ax1.scatter([0.5],[0.5]) >>> fig.savefig('test1.png') >>> >>> fig = mpl.figure() >>> ax2 = fig.add_subplot(1,1,1) >>> for c in ax1.collections: >>> ax2.add_collection(c) >>> fig.savefig('test2.png') >>> >>> However, the circle appears in the wrong place in test2.png (close to 0.4, >>> 0.4 instead of 0.5,0.5). Is it not possible/safe to copy over collections >>> in this way? If not, then how should this be done? >>> >>> Thanks, >>> >>> Thomas >>> ------------------------------------------------------------------------------ >>> Download Intel® Parallel Studio Eval >>> Try the new software tools for yourself. Speed compiling, find bugs >>> proactively, and fine-tune applications for parallel performance. >>> See why Intel Parallel Studio got high marks during beta. >>> http://p.sf.net/sfu/intel-sw-dev >>> _______________________________________________ >>> Matplotlib-users mailing list >>> Matplotlib-users@lists.sourceforge.net >>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users >>> > > > ------------------------------------------------------------------------------ > Download Intel® Parallel Studio Eval > Try the new software tools for yourself. Speed compiling, find bugs > proactively, and fine-tune applications for parallel performance. > See why Intel Parallel Studio got high marks during beta. > http://p.sf.net/sfu/intel-sw-dev > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > ------------------------------------------------------------------------------ Download Intel® Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
