Hi,
What prevents me from using mplot3d in the classroom is highlighted by the
following example.
# surface3d_demo2.py
import matplotlib
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np
fig = plt.figure()
ax = Axes3D(fig)
u = np.linspace(0, 2*np.pi, 100)
v = np.linspace(0, np.pi, 100)
x = 10 * np.outer(np.cos(u), np.sin(v))
y = 10 * np.outer(np.sin(u), np.sin(v))
z = 10 * np.outer(np.ones(np.size(u)), np.cos(v))
ax.plot_surface(x, y, z, rstride=4, cstride=4, color='b')
yy = np.linspace(-10, 10, 40)
zz = np.linspace(-10, 10, 40)
[yy, zz] = np.meshgrid(yy, zz)
xx = np.ones(np.shape(yy))
ax.plot_surface(xx, yy, zz, rstride=1, cstride=1, color=".7")
ax.set_xlabel('x-axis')
ax.set_ylabel('y-axis')
plt.show()
This code produces the following image:
http://msemac.redwoods.edu/~darnold/junk/test1.png
Pretty much the same code in Matlab:
u=linspace(0,2*pi,40);
v=linspace(0,pi,40);
[u,v]=meshgrid(u,v);
x=10*cos(u).*sin(v);
y=10*sin(u).*sin(v);
z=10*cos(v);
surf(x,y,z,'FaceColor','b')
yy=linspace(-10,10,40);
zz=yy;
[yy,zz]=meshgrid(yy,zz);
xx=ones(size(yy));
hold on
surf(xx,yy,zz,'FaceColor',[0.7,0.7,0.7])
view(30,30)
print -dpng 'test2.png'
shg
Produces this image:
http://msemac.redwoods.edu/~darnold/junk/test2.png
The inability of mplot3d to determine which image is in front seems to be a
problem.
The following page (must be viewed in Firefox) will give some sense of what I
need when teaching multivariable calculus.
http://msemac.redwoods.edu/~darnold/math50c/matlab/index.php
David Arnold
College of the Redwoods
http://msemac.redwoods.edu/~darnold/index.php
Davd Arnold
College of the Redwoods
On Feb 21, 2010, at 2:02 PM, Ben Axelrod wrote:
> I am not a MPL developer, but I am using mplot3d quite heavily right now to
> support 3D plots for a client of mine. I have found many bugs and lacking
> features which I require in the mplot3d library and have modified my local
> copy of the code significantly. I am eagerly awaiting Reinier's return from
> vacation so that I can work with him to integrate my improvements. For the
> most part, these fixes simply make the 3D plots behave more like the 2D
> plots. Here is a tentative list of my changes so far:
>
> * bug fix: placement of title in 3D plots to match 2D plot behavior
> * bug fix: allow facecolors and edgecolors to be specified as 'none' in 3D
> scatter plots to match the 2D scatter plot behavior
> * bug fix: allow all keyword arguments to be used in text3D
> * bug fix: allow an array of colors to be passed into bar3d to specify the
> colors on a per-bar or per-face basis
> * bug fix: allow all keyword arguments to be used in bar3d
> * bug fix: allow 3d scatter plots with 3 or 4 points with colors specified
> * new feature: new method to disable mouse rotation in 3D plots
> * new feature: new Z-order sorting heuristic to eliminate rendering issues
> for the common case of using bar3d to visualize a 2D histogram
> * new feature: new method text2D
> * code cleanup: warn when canvas is None which disables mouse callbacks
> * code cleanup: fully document more methods in mplot3d
>
> Although I haven't written them yet, I can probably create a couple more
> example codes:
> * example code: demonstrate use of transform() to do rectangle selection in
> 3D scatter plots
> * example code: mplot3d with wx - demonstrate turning off mouse rotations to
> make pan and zoom toolbar buttons work properly
>
> There are a few other bugs that I would really like fixed, but can't quite
> figure out right now. Hopefully Reinier will be able to shed some light on
> these:
> * axis label picking for 3D axes
> * how to set axis tick label properties for 3D axes
> * allow 3d boxes with transparent faces to make "wireframe" boxes
> * fix z-order sorting across multiple calls to bar3d()
>
> I should note that because of my client, I have a vested interest in seeing
> mplot3d (with the above bug fixes) make it into a stable release of MPL. But
> at the same time, I don't have a lot of spare time to spend on MPL
> development.
>
> Thanks,
> -Ben
>
> ________________________________________
> From: John Hunter [[email protected]]
> Sent: Sunday, February 21, 2010 12:19 PM
> To: Jakub Nowacki
> Cc: [email protected]
> Subject: Re: [Matplotlib-users] mplot3d stays?
>
> On Sun, Feb 21, 2010 at 8:20 AM, Jakub Nowacki
> <[email protected]> wrote:
>> Hi,
>>
>> I have quite general question. Since mplot3d now back in matplotlib, the
>> question is: is it going to stay there? Or is it some test release? I was
>> just wondering cause sometimes I use 3d plotting and use Mayavi2 for that
>> but in many cases it's like killing the spider with a shotgun, not
>> mentioning that installation process can be quite tricky.
>>
>> Thanks for answer in advance/
>
> Like anything in open source, it stays as long as someone supports it.
> The original implementation in matplotlib.axes3d was not supported by
> the original authors and none of the core developers had the bandwidth
> to support it, so we pulled it when a significant transformations
> refactoring broke the existing 3D support and noone had the resources
> to fix it. It languished for a while to Reinier picked up the torch
> with help from others and reintegrated it into mpl. To date he has
> been supporting it but is mostly acting alone (bus factor 1) . So we
> plan to continue support for mpl but we need developers to do it, so
> don't be shy about jumping into the code base and seeing if you can
> make incremental enhancements when you need them.
>
> On the plus side, the core of mpl is in pretty good shape, so I don't
> anticipate the need for a significant refactoring of the internals of
> the kind Michael did a couple of years ago which broke mplot3d the
> first time.
>
> JDH
>
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