Hello all,
I have some code to generate contour plots of unstructured triangular
grids that I have volunteered to include in matplotlib. Some
discussion of this has occurred in matplotlib-users, see
I am a little unclear on what this is and what it is used for. Is this to
visualize the triangular grid for things like Finite Element Analysis (FEM) and
Computational Fluid Dynamics (CFD)? What kind of format is the data in? Are
there any standards for this type of thing? Do you have some
I tried installing the two Mac OS X packages I found here. The .dmg file seems
to have installed somewhere other than my EPD python path - doesn't seem to be
in the Apple supplied Framework location either, so I'm sort of stumped on that
one. The egg I tried to install with EPD's
Ben Axelrod wrote:
I am a little unclear on what this is and what it is used for. Is
this to visualize the triangular grid for things like Finite Element Analysis
(FEM) and Computational Fluid Dynamics (CFD)?
In can be, yes -- though that's really only the part that renders the
mesh.
Ben Axelrod baxel...@coroware.com wrote:
I am a little unclear on what this is and what it is used for.
It is used to generate contour plots for data that is defined on
unstructured triangular grids. Currently mpl supports generating
contour plots on regular rectangular grids; if you have an
Ian Thomas wrote:
Alternatively, if you want to specify your own
triangulation instead you can do that using a indices array of shape
(3, ntri) where ntri is the number of triangles, and indices[:, i]
defines the indices of the three points that the i-th triangle is
composed of.
That would
On Mon, Mar 15, 2010 at 12:37 PM, Ian Thomas ianthoma...@googlemail.com wrote:
Ben Axelrod baxel...@coroware.com wrote:
I am a little unclear on what this is and what it is used for.
It is used to generate contour plots for data that is defined on
unstructured triangular grids. Currently mpl
Ian Thomas wrote:
Chris Barker wrote:
I think it would be great to have in MPL.
What code are you using for the triangulation? Does it do constrained
delauney?
My code only does the contouring; you have to input the triangulation.
In the examples included with the code I used
On 2010-03-15 13:30 PM, Ryan May wrote:
On Mon, Mar 15, 2010 at 12:37 PM, Ian Thomasianthoma...@googlemail.com
wrote:
Ben Axelrodbaxel...@coroware.com wrote:
I am a little unclear on what this is and what it is used for.
It is used to generate contour plots for data that is defined on
On Mon, Mar 15, 2010 at 12:37 PM, Ian Thomas ianthoma...@googlemail.com wrote:
Before going ahead with this I wished to ascertain how much interest
there was for this functionality as I don't want to spend time doing
something that isn't wanted or needed.
I'm definitely interested, but I
Robert Kern wrote:
On 2010-03-15 13:30 PM, Ryan May wrote:
Are you looking at making it possible to
construct a triangulation from the delaunay triangulation that is used
by griddata? (Sorry, I didn't follow the thread that closely.)
He's using matplotlib.delaunay.
right, and the goal
John Hunter wrote:
It would probably
be beneficial, but by no means required, to use CXX to expose the C++
part to python so take a look if you are inclined.
What about Cython -- is any one using Cython in MPL yet?
-Chris
--
Christopher Barker, Ph.D.
Oceanographer
Emergency Response
Christopher Barker wrote:
John Hunter wrote:
It would probably
be beneficial, but by no means required, to use CXX to expose the C++
part to python so take a look if you are inclined.
What about Cython -- is any one using Cython in MPL yet?
No, not yet, but I think we should be looking at
It's my understanding that there is no built-in method for generating a
broken axis (where you skip over some range of values, indicating this
with some graphical mark). I wanted to do this, so I've put together a
function which seems to be fairly robust, and I thought I might propose it
as a
On Mon, Mar 15, 2010 at 3:16 PM, klukas klu...@wisc.edu wrote:
It's my understanding that there is no built-in method for generating a
broken axis (where you skip over some range of values, indicating this
with some graphical mark). I wanted to do this, so I've put together a
function which
Hello all,
I have written a small patch which extends the functionality of
Figure.legend and pyplot.figlegend to match that of Axes.legend.
This patch allows figlegend to automatically build a legend for lines
with the label property set when figlegend is called without a list of
strings or
John Hunter wrote:
On Mon, Mar 15, 2010 at 3:16 PM, klukas klu...@wisc.edu wrote:
It's my understanding that there is no built-in method for generating a
broken axis (where you skip over some range of values, indicating this
with some graphical mark). I wanted to do this, so I've put
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