It is doing it every where. Also look at the tick above the 2 on the
bottom it is slightly clipped.
It is definitely seems worse on the top, which might be showing a
fence-post issue in the clipping/Agg rendering.
As the OP points out zooming in on
http://matplotlib.org/mpl_examples/pylab_examples/zorder_demo_01.pdf makes
it really obvious that this is the case everywhere.
That said, I don't think that this is a 'bug' persay. We have to pick
_some_ zorder for the frame and 2.5 is is good as any other. We do have a
documentation problem as I don't know where that information is other than
in the source.
Tom
On Thu, May 7, 2015 at 11:38 AM Benjamin Root <ben.r...@ou.edu> wrote:
> But, why is it doing that only along the top edge and not the other edges
> (or are my eyes that bad)?
>
> On Thu, May 7, 2015 at 11:30 AM, Thomas Caswell <tcasw...@gmail.com>
> wrote:
>
>> zorder can be negative, if you want to ensure that all of your lines are
>> always below all of the standard axis components simple decrease the
>> zorder of the elements you want behind rather than increasing the zorder of
>> the elements you want in front.
>>
>> @ben look at the top left of
>> http://matplotlib.org/mpl_examples/pylab_examples/zorder_demo_01.hires.png
>> and compare where it looks like the red and green lines are clipped.
>>
>> Tom
>>
>> On Thu, May 7, 2015 at 11:14 AM plotter <plot...@trash-mail.com> wrote:
>>
>>> The second example on
>>> http://matplotlib.org/examples/pylab_examples/zorder_demo.html seems to
>>> expose a bug, which is clearly visible in the vector version:
>>>
>>> The blue curve with zorder=2 is plotted below the frame and all others
>>> with
>>> zorder >= 3 are plotted above the frame. This is because the frame
>>> zorder is
>>> hardcoded to be 2.5. This behaviour is certainly unexpected by most
>>> users.
>>> How can one modify the mutual zorder of lines without conflicting with
>>> standard axis elements?
>>>
>>>
>>>
>>> --
>>> View this message in context:
>>> http://matplotlib.1069221.n5.nabble.com/bug-in-zorder-example-tp45342.html
>>> Sent from the matplotlib - users mailing list archive at Nabble.com.
>>>
>>>
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