There are fundamental limitations of mplot3d that would make such a feature
a disaster. You can plot a single surface just fine, but if you try
plotting multiple surfaces, they do not get composed correctly (what I have
dubbed the "Escher effect"). That problem would have to be solved first. In
the past 5 years, I have yet to figure out a solution that doesn't utterly
upend matplotlib.
That doesn't mean that it isn't solvable, I just haven't figured it out,
nor do I really have that much motivation or resources to figure it out.
There was a discussion thread a few months back that raised a couple ideas
that might be promising, though, if you want to look take a stab at the
problem.
On Tue, Jan 20, 2015 at 10:49 AM, Nils Wagner <[email protected]>
wrote:
>
> I am aware of the gallery but I didn't find a similar picture I am looking
> for.
>
> If something is *comprehensive*, it is *complete* and includes everything
> that is important.
>
> Shall I create a feature request for isosurface plots in matplotlib ?
>
> http://en.wikipedia.org/wiki/Isosurface
>
>
> On Tue, Jan 20, 2015 at 4:27 PM, Paul Hobson <[email protected]> wrote:
>
>> The gallery had a comprehensive set of available three dimensional plots,
>> I think.
>>
>> http://matplotlib.org/gallery.html#mplot3d
>> On Tue, Jan 20, 2015 at 01:19 Nils Wagner <[email protected]> wrote:
>>
>>> Hi all,
>>>
>>> I found
>>>
>>>
>>> http://stackoverflow.com/questions/9419451/3d-contour-plot-from-data-using-mayavi-python
>>>
>>> Is there something similar in matplotlib ?
>>>
>>>
>>> Nils
>>>
>>>
>>> ------------------------------------------------------------
>>> ------------------
>>> New Year. New Location. New Benefits. New Data Center in Ashburn, VA.
>>> GigeNET is offering a free month of service with a new server in Ashburn.
>>> Choose from 2 high performing configs, both with 100TB of bandwidth.
>>> Higher redundancy.Lower latency.Increased capacity.Completely compliant.
>>> http://p.sf.net/sfu/gigenet______________________________
>>> _________________
>>> Matplotlib-users mailing list
>>> [email protected]
>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>
>>
>
>
> ------------------------------------------------------------------------------
> New Year. New Location. New Benefits. New Data Center in Ashburn, VA.
> GigeNET is offering a free month of service with a new server in Ashburn.
> Choose from 2 high performing configs, both with 100TB of bandwidth.
> Higher redundancy.Lower latency.Increased capacity.Completely compliant.
> http://p.sf.net/sfu/gigenet
> _______________________________________________
> Matplotlib-users mailing list
> [email protected]
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
>
------------------------------------------------------------------------------
New Year. New Location. New Benefits. New Data Center in Ashburn, VA.
GigeNET is offering a free month of service with a new server in Ashburn.
Choose from 2 high performing configs, both with 100TB of bandwidth.
Higher redundancy.Lower latency.Increased capacity.Completely compliant.
http://p.sf.net/sfu/gigenet
_______________________________________________
Matplotlib-users mailing list
[email protected]
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
