The mplot3d tutorial page, which is the first result when you google
'mplot3d', includes a section on 'Tri-surface plots' and is precisely what
you are looking for.
You certainly do not need to use scipy. Matplotlib includes its own
Delaunay triangulator, as specified in the 'triangular grids'
Masha,
As suggested before, take a look at the triangular mesh functions. There
are simple contour (
http://matplotlib.org/examples/pylab_examples/tricontour_demo.html) and
pcolor plots (
http://matplotlib.org/examples/pylab_examples/tripcolor_demo.html), plus
linear and cubic interpolation (
On 2 November 2014 16:30, Benjamin Root ben.r...@ou.edu wrote:
Would it make sense to at least emit a warning when a mask is encountered.
There are very few places in matplotlib where masked arrays are not allowed
(I think histograms is the other spot, but I can't remember for sure).
Ben,
On 1 November 2014 18:20, Hartmut Kaiser hartmut.kai...@gmail.com wrote:
Thanks Ian! Your detailed answer is much appreciated.
As you might have already guessed, we have quite some problems creating
clean geometries from the generated contour data. I have tried to put
together one
On 26 October 2014 00:18, Hartmut Kaiser hartmut.kai...@gmail.com wrote:
At this point we assume, that polys[0] is a linear ring to be interpreted
as
a polygon exterior and polys[1:] are the corresponding interiors for
polys[0].
Here are our questions:
Is this assumption correct?
Is
less RAM would be preferable. There are various
possibilities, they just have to be implemented! I will take a look at it
sometime, but it probably will not be soon.
Ian Thomas
look to check there is not something
else going wrong.
Ian Thomas
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On 28 March 2014 12:56, Jesper Larsen jesper.webm...@gmail.com wrote:
I believe the normalization behaviour is wrong for contourf at least when
using a BoundaryNorm. In the script below I am using the same norm to plot
the same data using contourf and pcolormesh. The color should change around
On 29 January 2014 03:21, Eric Firing efir...@hawaii.edu wrote:
On 2014/01/28 10:01 AM, A Short wrote:
Hi - Ive now improved my code and confirmed the use of the right grib
file
but i cant for the life of me figure out the missing data near the
coastline..? Could anyone help?
The
On 1 November 2013 13:55, Jule rik...@gmx.de wrote:
Hey guys,
I have a question regarding my plot.
http://matplotlib.1069221.n5.nabble.com/file/n42446/seaice.png
I want to plot seaice thickness distribution. The data is derived from a
model run using an unstructured grid. To plot data on a
On 26 October 2013 09:02, Nils Wagner nils...@googlemail.com wrote:
The problem persists in master.
On Fri, Aug 30, 2013 at 7:39 PM, Nils Wagner nils...@googlemail.comwrote:
You are right.
The first one fails, the second works for me.
Nils
On Fri, Aug 30, 2013 at 7:20 PM, Michael
On 1 July 2013 13:40, zetah ot...@hush.ai wrote:
Hi,
I have set of points in a plane and make triplot:
subplot(121)
plot(points[:,0], points[:,1], 'o')
title('Set of points')
subplot(122)
triplot(points[:,0], points[:,1])
title('Triangulation')
result:
On 9 January 2013 09:32, Shahar Shani-Kadmiel kadm...@post.bgu.ac.ilwrote:
Hi,
I'm trying to contour some data that I have and the griddata line fails. I
tried running it on some synthetically generated data and I get the same
IndexError. Any Ideas?
Here is the example with the synthetic
On 16 November 2012 15:38, Bror Jonsson brorl...@gmail.com wrote:
Oh, I left out a line in the code, very sorry for that. Here is a full
example:
import numpy as np
import pylab as pl
#Generate a matrix populated with 1's
fld = np.ones((4,4))
#Set one corner of the matrix to NaN
?
Ian Thomas
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On 16 October 2012 18:44, T J tjhn...@gmail.com wrote:
This is a set of 152 points on a triangle. delaunay is mentioned to
have problems for some pathological cases. Is a complete triangular
grid considered as such a case?
Yes, under certain circumstances! delaunay is not 'geometrically
On 16 April 2012 23:36, Damon McDougall d.mcdoug...@warwick.ac.uk wrote:
On Monday, 16 April 2012 at 16:34, Kacper Kowalik wrote:
On 16 Apr 2012 22:31, Damon McDougall d.mcdoug...@warwick.ac.uk wrote:
Hi Kacper,
Just to be clear, is it tri.Triangulation(x, y) that hangs, or is it
that use hardware rendering.
There has been some work done on an OpenGL backend, but I am not sure of
the status of this. The last time I checked it was pretty experimental.
Perhaps someone involved with it can comment on its current status.
Ian Thomas
On 15 November 2011 00:18, Daniel Welling dantwell...@gmail.com wrote:
Greetings.
I recently found myself in the position of needing to plot polar,
irregularly spaced data. I've done similar using regularly spaced values
with no problem. However, I've found that when the points become
On 13 November 2011 19:10, Daniel Welling dantwell...@gmail.com wrote:
I am interested in accessing Triangulation objections that are created by
MPL for tricontour-type plots. The docs for MPL routines that use
triangulation objects refer to documentation, but none exists in the MPL
online
be overkill for what you want to do.
Ian Thomas
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a modified version of your debug.py to show this.
This may be simpler to use than points_inside_poly, but if you have multiple
nested boundaries it could get confusing unless you know which boundary
encloses which others.
Ian Thomas
import matplotlib
import matplotlib.pyplot as plot
import numpy
Try tricontourf; I've attached an example. Most of the example code is
manipulating your input data and calculating the connectivity of your grid.
I hope this helps,
Ian Thomas
import matplotlib.pyplot as plt
import numpy as np
x,y1,y2,y3,y4,stress = np.loadtxt('data.txt', skiprows=2, delimiter
On 28 April 2011 22:56, Luke hazelnu...@gmail.com wrote:
I am thinking that perhaps the approach I should be taking should
involve contouring the real part of the eigenvalues which determine
the stability, and then plot the zero-level curve. I'll have to think
about that some more.
This
come up with their own freestanding
example.
I hope some of this helps!
Ian Thomas
import matplotlib.pyplot as plt
import matplotlib.tri as tri
import numpy as np
# Create triangulation of random (x,y) points.
np.random.seed(0)
x = np.random.rand(10)
y = np.random.rand(10)
triang
Daniel,
Following on from Eric's comments, attached is the simplest example I could
come up with to do what you want. For non-filled contours, the 'segs' (last
few lines of the file) should be fairly self-explanatory, and this is
hopefully what you want. If you are after filled contours, you
On 11 November 2010 12:41, isolat illoul_am...@yahoo.fr wrote:
hi all,
please is there any one can tell me if it's possible in mplot3d to plot 3d
triangular mesh model with a colormap different from the Z variable. I
don't find example in tutorial for this.
thanks.
No, this is not
On 27 September 2010 15:37, radfahrer clem...@m-info.de wrote:
I am trying to plot a triangular grid from a textfile using triplot, but
all
I get is some wired straight line
Your triangulation consists of just two triangles, the first with vertices
(0, 0) (0.1, 0.1) (0.1, 0.1) and the second
On 17 September 2010 16:26, Simon S. Clift sscl...@gmail.com wrote:
I have a data set that is in the form of an irregular 2D grid with
associated values, one for each node. I would like to plot this as a
raised surface, with colours that indicate the z-value. Somehow I
didn't find just
On 28 July 2010 01:31, Phil Rosenfield philr...@astro.washington.eduwrote:
I'd like to use the polygons contour makes but I can't figure out how
to get them from ContourSet. Any examples or links to helpful
information would be excellent.
Attached is an example of how to extract the polygons
Chris Barker wrote:
hmm -- I wonder if a post to matplotlib-devel is in order. Most of those
folks are on this list, to, but may not be following this thread.
I'll post to matplotlib-devel shortly and see what response I get.
By the way, it sounds like your contouring code is in C++ -- is
Chris Barker wrote:
... snip ...
To summarise, you recommend the following units of functionality:
1) Triangulation class to wrap existing delaunay code.
2) Separate the storage of and creation of contour sets so that you
can create your own.
3) tricontour and tricontourf functions to contour a
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 matplotlib.delaunay to
do the
Hello all,
I submitted some code to matplotlib-users last September to perform
contouring of triangular grids. The posts and code can be found at:
http://sourceforge.net/mailarchive/forum.php?thread_name=4AB3B95B.3090903%40noaa.govforum_name=matplotlib-users
Like I wrote at the time, if it is
it. If it turned
out that a (much improved) version of it was considered good enough to
incorporate into mpl, I'd would happily help as I'd like to
contribute.
I hope someone finds it useful!
Ian Thomas
mpl_tri.tar.gz
Description: GNU Zip compressed data
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