On 01/23/2011 11:46 PM, Paul Ivanov wrote: [...] > Done in r8935, see examples/pylab_examples/broken_axis.py >
Thank you. > I documented the above, used deterministic fake data, as Eric > suggested, and added the diagonal cut lines that usually > accompany a broken axis. Here's the tail end of the script which > creates that effect (see updated attached image). Beautiful! Eric > > # This looks pretty good, and was fairly painless, but you can > # get that cut-out diagonal lines look with just a bit more > # work. The important thing to know here is that in axes > # coordinates, which are always between 0-1, spine endpoints > # are at these locations (0,0), (0,1), (1,0), and (1,1). Thus, > # we just need to put the diagonals in the appropriate corners > # of each of our axes, and so long as we use the right > # transform and disable clipping. > > d = .015 # how big to make the diagonal lines in axes coordinates > # arguments to pass plot, just so we don't keep repeating them > kwargs = dict(transform=ax.transAxes, color='k', clip_on=False) > ax.plot((-d,+d),(-d,+d), **kwargs) # top-left diagonal > ax.plot((1-d,1+d),(-d,+d), **kwargs) # top-right diagonal > > kwargs.update(transform=ax2.transAxes) # switch to the bottom axes > ax2.plot((-d,+d),(1-d,1+d), **kwargs) # bottom-left diagonal > ax2.plot((1-d,1+d),(1-d,1+d), **kwargs) # bottom-right diagonal > > # What's cool about this is that now if we vary the distance > # between ax and ax2 via f.subplots_adjust(hspace=...) or > # plt.subplot_tool(), the diagonal lines will move accordingly, > # and stay right at the tips of the spines they are 'breaking' > > best, ------------------------------------------------------------------------------ Special Offer-- Download ArcSight Logger for FREE (a $49 USD value)! Finally, a world-class log management solution at an even better price-free! Download using promo code Free_Logger_4_Dev2Dev. Offer expires February 28th, so secure your free ArcSight Logger TODAY! http://p.sf.net/sfu/arcsight-sfd2d _______________________________________________ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
