For my backend (nbagg), the order of the data determines the order of drawing.
So in the following, the third diamond covers the first two in the first plot,
but the first diamond covers them all in the second plot. Perhaps not as
elegant as a matrix zorder, but can achieve the effect you are after.
Cheers, Jody
fig, ax = plt.subplots(2,1)
x = np.arange(3)
y = 0.*x
ax[0].plot(x,y,'d',markersize=52)
ax[0].set_xlim(-10.,10.)
ax[1].plot(x[[2,1,0]],y[[2,1,0]],'d',markersize=52)
ax[1].set_xlim(-10.,10.)
> On Jun 23, 2015, at 9:44 AM, Benjamin Root <ben.r...@ou.edu> wrote:
>
> I see what you are getting at. The issue is that artists are first sorted by
> the zorder and then drawn one at a time. The draw for a collection artist is
> an at-once operation, it can't (currently) be split out and interspersed with
> the draws from another artist. This is one of the major limitations for
> mplot3d, as it would be nice to compose a 3d scene properly so that
> everything is logically consistent.
>
> I have actually been working on some changes that would allow one to sort the
> draws of individual elements of a collection, but I still haven't figured out
> a way to "break out" the elements with other collection elements in a way
> that doesn't break the current design or introduce major performance
> penalties. Maybe I'll figure something out during SciPy2015.
>
> Cheers!
> Ben Root
>
>
> On Tue, Jun 23, 2015 at 5:44 AM, Simon Walker <s.r.walker...@googlemail.com
> <mailto:s.r.walker...@googlemail.com>> wrote:
> When multiple datasets are plotted on the same axis, the points overlay each
> other making it hard to see the points under the most recent ones. One way to
> avoid this is to give each point a random zorder, randomising its position in
> the z axis. This way, points from the first dataset may overly points from
> the last dataset.
>
> This could be achieved nicely if the zorder keyword took an array so the
> random zorder values per point can be pre-computed, but currently it only
> accepts a single number for the whole dataset. Would this be a useful feature
> for others to have? How difficult would it be to implement?
>
> Thanks,
>
> Simon Walker
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