On 6/21/07, Miquel Poch <[EMAIL PROTECTED]> wrote: > And here is my problem. I can put one toolbar for each graph, but when I > make a zoom I want all the graphs change in the same way. That's possible? > I've been thinking in make zoom in one graph, and then create a function > that receive the data of new axes and resize the other graphs.
If the axes are in the same figure, you can use the sharex and sharey properties of the Axes to synchronize the pan/zoom ax1 = fig.add_subplot(211) ax2 = fig.add_subplot(212, sharex=ax1) # share x axis zoom only but this won't work across figures. I just made some changes to svn to support this, with new axes methods "sharex_foreign" and "sharey_foregin" to synchronize x or y views of Axes across different figures. This example now lives in svn as examples/shared_axis_across_figures.py Note I changed the little used and somewhat broken custom Axes callback handling -- if any of you are using that see the API_CHANGES notes in svn. """ connect the data limits on the axes in one figure with the axes in another. This is not the right way to do this for two axes in the same figure -- use the sharex and sharey property in that case """ import numpy from pylab import figure, show fig1 = figure() fig2 = figure() ax1 = fig1.add_subplot(111) ax2 = fig2.add_subplot(111) ax1.plot(numpy.random.rand(100), 'o') ax2.plot(numpy.random.rand(100), 'o') ax1.sharex_foreign(ax2) ax2.sharex_foreign(ax1) ax1.sharey_foreign(ax2) ax2.sharey_foreign(ax1) show() ------------------------------------------------------------------------- This SF.net email is sponsored by DB2 Express Download DB2 Express C - the FREE version of DB2 express and take control of your XML. No limits. Just data. Click to get it now. http://sourceforge.net/powerbar/db2/ _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
