On 09/04/2011 12:08 PM, Adam Davis wrote: > Eric, > > Thank you for the reply. > > Yes, eliminating sharex and sharey does solve that problem. But then my > plot axes (which are scatter plots of each orthogonal view of a vector > space) are not correspondingly scaled. > > Is there a way to: > > - force scaling across specified axes without using sharex/y (and > without disrupting imshow)?
You can manually get and set the axes limits with ax.get_ylim, ax.set_ylim, etc. > > - have subplots within subplots so that I can have the plot() calls in > one set of axes within a subplot (using sharex/y) and the imshow() calls > in another subplot? You just need to create the subplots one-by-one instead of using the subplots convenience function: fig = plt.figure() ax1 = fig.add_subplot(2,2,1) ax2 = fig.add_subplot(2,2,2, sharex=ax1, sharey=ax1) ax3 = fig.add_subplot(2,2,3, sharex=ax1, sharey=ax1) ax4 = fig.add_subplot(2,2,4) Now the first three axes are locked together, and the 4th is independent. Eric > > -Adam > > On Sun, Sep 4, 2011 at 10:34 PM, Eric Firing <efir...@hawaii.edu > <mailto:efir...@hawaii.edu>> wrote: > > On 09/04/2011 11:12 AM, Adam Davis wrote: > > I have a figure with a number of plots that analyze a source image. I > > wish to show the plots along side the image. Unfortunately whichever > > method I call last clobbers (leaves blank axes) for the previously > > called method. > > > > To illustrate: > > > > fig, axs = pylab.subplots(10, 4, sharex=True, sharey=True) > > > > for i in range(10): > > > > axs[i,0].plot(some_data) > > axs[i,1].plot(some_data) > > axs[i,2].plot(some_data) > > > > axs[i,3].imshow(some_image) > > > > #===== > > > > The above shows only the images in the fourth column. If, however, I > > call imshow() first, followed by the call to plot(), then only > the plot > > axes appear and the images disappear. > > > > Is there a way to both plot and display images in the same figure? > > I suspect the problem here is your sharex and sharey kwargs. Try > leaving them out. > > Eric > > > > > -Adam > > > ------------------------------------------------------------------------------ > Special Offer -- Download ArcSight Logger for FREE! > Finally, a world-class log management solution at an even better > price-free! And you'll get a free "Love Thy Logs" t-shirt when you > download Logger. Secure your free ArcSight Logger TODAY! > http://p.sf.net/sfu/arcsisghtdev2dev > _______________________________________________ > Matplotlib-users mailing list > Matplotlib-users@lists.sourceforge.net > <mailto:Matplotlib-users@lists.sourceforge.net> > https://lists.sourceforge.net/lists/listinfo/matplotlib-users > > ------------------------------------------------------------------------------ Special Offer -- Download ArcSight Logger for FREE! Finally, a world-class log management solution at an even better price-free! And you'll get a free "Love Thy Logs" t-shirt when you download Logger. Secure your free ArcSight Logger TODAY! http://p.sf.net/sfu/arcsisghtdev2dev _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
