_cntr.so has been deprecated (it might take a couple of releases before we
remove it entirely). _contour.so has a newer, better interface and comes
with a python wrapper. Don't know if that is an issue at all for you, just
noting that is the case.
I might also suggest looking at scikit-image, as
Is there any way to do this? The example here works in Cartesian
coordinates:
http://matplotlib.org/examples/pylab_examples/coords_report.html
but if you change
subplots()
to
subplots(subplot_kw={'polar':True})
Then the millions() function is never even called.
Thanks,
Alex
hi!
do a delaunay triangulation
http://docs.scipy.org/doc/scipy-0.14.0/reference/generated/scipy.spatial.Delaunay.html
on them.
also try to do the triangulation only on the xy coordinates and see which
of both gives the results you like more.
best, p
justonium justinorth...@gmail.com schrieb
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'
The contour finder in matplotlib is more robust than I currently have in a
legacy fortran project. I would like to link to matplotlib’s instead. Has
anyone done this before? Are there any suggestions or pitfalls for proceeding?
Thanks,
Sterling
Hi everyone,
I have just released a small plugin for py.test that wraps the image
comparison functionality in matplotlib.testing, for use in other
packages that use py.test as the testing framework instead of nose:
https://github.com/astrofrog/pytest-mpl
The idea is to make it easy to write a
Also keep in mind that we consider all of the c extensions to be part of
the private api and do not worry so much about breaking them.
Tom
On Thu, Jun 25, 2015, 3:45 PM Benjamin Root ben.r...@ou.edu wrote:
_cntr.so has been deprecated (it might take a couple of releases before we
remove it
