Thanks Michael and Eric for your constructive replies and your help. It is know clear for me why my code was luckily working with 0.91 but not with 0.98. This is certainly going to help me finding a robust solution for both cases.
Regards, David Michael Droettboom a écrit : > David, > > There is no code in matplotlib to autoscale shared axes, and as far as I > know, there never has been. Unfortunately, it's more or less a > requirement that you have to set the limits manually when using shared > axes. (All of the shared axes examples do this). > > I think, 0.91 is broken also, it just happens to use the first plotted > line rather than the second (it truncates the red line, rather than the > blue one). The difference in ordering is due to the fact that sharing > is now always bi-directional in 0.98 and it uses dictionaries with a > somewhat random ordering, rather than lists. If you see different > behavior than my plots (attached) let me know. > Eric Firing wrote: >> This looks like a rather fundamental problem in the present >> architecture. I thought I had a solution figured out, but I was >> wrong, and now I am not confident that I can come up with a good >> solution quickly. Some consultation with, or intervention by, Mike D. >> may be needed--he might even see a solution in a matter of minutes. >> The problem is that the dataLim for each axes object is a Bbox, and in >> this implementation there is no way to share an x-interval or a >> y-interval among Bboxes. So there is a single xaxis major locator >> that is shared, but it is only getting its dataLim updated from one of >> the shared axes. >> > > Just to clarify: this limitation is not new to the 0.98 architecture. > 0.91 also uses Bboxes for data limits and does not directly share the x- > or y-limits: they are updated using callbacks when the limits change. > The difference in 0.98 is that the references between axes are set up > (effectively) bidirectionally so there's no longer a notion of a > "controlling" axes and "following" axes. It was easy in 0.91 to set up > a situation where shared axes would only update if one, but not both, of > the pair were zoomed/panned, and that bug has been fixed. > > Back when the 0.98 transformations were being written, John and I had a > long discussion about whether data limits should be Bbox-like or > pair-of-intervals-like, and we ultimately decided to leave things as-is > to avoid creating too much newness at once. IMHO, however, the real > problem is that the shared axes mechanism doesn't know whether the > limits are changing because of autoscaling (in which case the limits > should be unioned together), or panning/zooming, in which case the > limits need to be replaced. The second problem is probably necessary to > fix whether we use Bboxes or not. > > Cheers, > Mike > > ------------------------------------------------------------------------ > > > ------------------------------------------------------------------------ > ------------------------------------------------------------------------- Sponsored by: SourceForge.net Community Choice Awards: VOTE NOW! Studies have shown that voting for your favorite open source project, along with a healthy diet, reduces your potential for chronic lameness and boredom. Vote Now at http://www.sourceforge.net/community/cca08 _______________________________________________ Matplotlib-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel