(keeping the discussion on the mailing list)
The object you get back have two attributes: "lines" and "arrows". This is
just psuedo-code, but it would look something like this:
```
stream = ax.streamplot(......)
art3d.linecollection_2d_to_3d(stream.lines, ....)
for p in stream.arrows:
art3d.patch_2d_to_3d(p, ...)
```
Again, I have no clue if this actually would work. I haven't tried doing
this myself.
Ben Root
On Thu, May 21, 2015 at 11:39 AM, Raj Kumar Manna <rajphysics....@gmail.com>
wrote:
> Thanks for your quick reply.
>
> I have plotted the streamplot in 2d . I am not able to extract lines or
> arrow from streamplot. I am new user of matplotlib, can you please tell me
> the syntax to extract lines and arrows from streamplot().
>
> Thanks for you help.
> Raj
>
> On Thu, May 21, 2015 at 8:30 PM, Benjamin Root <ben.r...@ou.edu> wrote:
>
>> Well, there is the new 3D quiver feature:
>> http://matplotlib.org/examples/mplot3d/quiver3d_demo.html. Not quite
>> streamlines, but it might do in a pinch.
>>
>> Another approach:
>> There is the 2d streamplot() function that returns a specialized object.
>> From the docstring:
>> ```
>> Returns:
>>
>> *stream_container* : StreamplotSet
>> Container object with attributes
>>
>> - lines: `matplotlib.collections.LineCollection` of
>> streamlines
>>
>> - arrows: collection of
>> `matplotlib.patches.FancyArrowPatch`
>> objects representing arrows half-way along stream
>> lines.
>> ```
>>
>> You might be able to get away with using the "lines" object and feeding
>> it through art3d.line_collection_2d_to_3d(), kind of like how it is done
>> for pathpatch objects here:
>> http://matplotlib.org/examples/mplot3d/pathpatch3d_demo.html. You might
>> also be able to pass the individual objects in the "arrows" list through
>> art3d.patch_2d_to_3d(), but I have no clue if that would actually work or
>> not.
>>
>> I hope that helps!
>> Ben Root
>>
>>
>> On Thu, May 21, 2015 at 7:45 AM, Raj Kumar Manna <
>> rajphysics....@gmail.com> wrote:
>>
>>> Hi,
>>>
>>> I need to plot a 2d streamline in 3d view like this
>>> <http://stackoverflow.com/questions/14963004/continuous-shades-on-matplotlib-3d-surface>.
>>> As suggested by the post
>>> <http://stackoverflow.com/questions/16252231/symmetric-streamplot-with-matplotlib/16373060#16373060>,
>>> I need to extract streamlines and arrows from a 2d plot and then transform
>>> it to 3d data. How to transform this 2d streamline data to 3d data and plot
>>> using mplot3d?
>>>
>>> Thanks in advance.
>>>
>>> Raj
>>>
>>>
>>> --
>>> ##################################################################
>>> Raj Kumar Manna
>>> Complex Fluid & Biological Physics Lab
>>> IIT Madras
>>>
>>> Ph. No. 8144637401
>>>
>>> alternate email: r...@physics.iitm.ac.in <rajphysics....@gmail.com>
>>> ####################################################################
>>>
>>>
>>> ------------------------------------------------------------------------------
>>> One dashboard for servers and applications across Physical-Virtual-Cloud
>>> Widest out-of-the-box monitoring support with 50+ applications
>>> Performance metrics, stats and reports that give you Actionable Insights
>>> Deep dive visibility with transaction tracing using APM Insight.
>>> http://ad.doubleclick.net/ddm/clk/290420510;117567292;y
>>> _______________________________________________
>>> Matplotlib-users mailing list
>>> Matplotlib-users@lists.sourceforge.net
>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>
>>>
>>
>
>
> --
> ##################################################################
> Raj Kumar Manna
> Complex Fluid & Biological Physics Lab
> IIT Madras
>
> Ph. No. 8144637401
>
> alternate email: r...@physics.iitm.ac.in <rajphysics....@gmail.com>
> ####################################################################
>
------------------------------------------------------------------------------
One dashboard for servers and applications across Physical-Virtual-Cloud
Widest out-of-the-box monitoring support with 50+ applications
Performance metrics, stats and reports that give you Actionable Insights
Deep dive visibility with transaction tracing using APM Insight.
http://ad.doubleclick.net/ddm/clk/290420510;117567292;y
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
