matplotlib-users Mailing List for matplotlib

instead of having people enter all this info by hand, you should just
write a python script that extracts most of the technical details from
the current install, prints it out for cut-and paste into the form or
directly sends it to your server. ;-)
On 3 March 2015 at 02:23, Thomas Robitaille <tho...@gm...> wrote:
> Hi everyone,
>
> If you use scientific Python packages for your research/work, I would
> appreciate if you could take a few minutes to fill out the following
> survey:
>
> http://goo.gl/PXzFAk
>
> The aim of this survey is to find out what versions of Python and
> various scientific Python packages people are using, and how people
> typically install packages, in order to determine how developers can
> better meet the needs of the Scientific Python community (for example,
> a common question is which version of Numpy need to be supported by
> packages).
>
> This is a follow-up to a similar survey which I did back in 2012 and
> which provided very interesting results that you can read about here:
>
> http://astrofrog.github.io/blog/2013/01/13/what-python-installations-are-scientists-using
>
> Please feel free to forward this survey to people in your own
> scientific Python communities!
>
> I will publish the results online in a few weeks.
>
> Thanks!
> Tom
>
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> https://lists.sourceforge.net/lists/listinfo/matplotlib-users

Hi everyone,
If you use scientific Python packages for your research/work, I would
appreciate if you could take a few minutes to fill out the following
survey:
 http://goo.gl/PXzFAk
The aim of this survey is to find out what versions of Python and
various scientific Python packages people are using, and how people
typically install packages, in order to determine how developers can
better meet the needs of the Scientific Python community (for example,
a common question is which version of Numpy need to be supported by
packages).
This is a follow-up to a similar survey which I did back in 2012 and
which provided very interesting results that you can read about here:
 http://astrofrog.github.io/blog/2013/01/13/what-python-installations-are-scientists-using
Please feel free to forward this survey to people in your own
scientific Python communities!
I will publish the results online in a few weeks.
Thanks!
Tom

Hi, all
 
The following code repeats the problem. Array ele1 is same as ele2 except that it is transpose of ele0, but the refined triangles using ele1 is incorrect.
The problem is also reported at https://github.com/matplotlib/matplotlib/issues/4180
matplotlib version: 1.4.0, the UniformTriRefiner code in version 1.4.3 is the same as 1.4.0。
#!/bin/env python
import numpy as np
import matplotlib.tri as tri
import matplotlib.pyplot as plt
x = np.array([ 120.39299774, 120.59100342, 120.42900085, 120.31700134])
y = np.array([ 33.99900055, 34.00899887, 34.18799973, 34.18399811])
ele0 = np.array([[2, 2], [0, 1], [3, 0]])
ele1 = ele0.transpose() # ele1 is same as ele2 except that it is transpose of ele0
ele2 = np.array([[2, 0, 3], [2, 1, 0]])
triang1 = tri.Triangulation(x, y, ele1)
triang2 = tri.Triangulation(x, y, ele2)
refiner1 = tri.UniformTriRefiner(triang1)
refiner2 = tri.UniformTriRefiner(triang2)
fine_triang1 = refiner1.refine_triangulation(subdiv=1)
fine_triang2 = refiner2.refine_triangulation(subdiv=1)
fig = plt.figure()
ha1 = fig.add_subplot(121)
ha1.set_aspect('equal')
plt.triplot(fine_triang1, color='b', linewidth=0.5)
plt.triplot(triang1, color='k', linewidth=1)
plt.title('refine_triang1 is incorrect')
ha2 = fig.add_subplot(122)
ha2.set_aspect('equal')
plt.triplot(fine_triang2, color='b', linewidth=0.5)
plt.triplot(triang2, color='k', linewidth=1)
plt.title('refine_triang2 is correct')
plt.show()
Paul