Hi,
I have written a quick'n'dirty image segmentation algorithm. It seems to work
fine. However, I am interested in getting contours of the segments
(essentially, (x,y) pairs of the edges of each segment). I can plot the
contours with MPL (pylab.contour()), but I'd like to have the locations of
Hi,
I have compiled v.0.90.1 on RHEL 5. By default, the GTKAgg backend is being
used (TkAgg cannot be set, as TkInter is not installed on the system, I
think. It throws a NO Module named Tkinter error).
At any rate, a test session is as follows:
import pylab
pylab.plot ( [1,2,3],[1,2,3],'-or')
John,
On Tuesday 04 December 2007 03:25:15 John Hunter wrote:
On Dec 3, 2007 9:08 AM, José Gómez-Dans [EMAIL PROTECTED] wrote:
I have compiled v.0.90.1 on RHEL 5. By default, the GTKAgg backend is
being used (TkAgg cannot be set, as TkInter is not installed on the
system, I think
John,
On Tuesday 04 December 2007 14:07:36 you wrote:
Two more tests. WIll you set the debug level to
--verbose-debug-annoying and add a savefig command to your script, eg
savefig('myfig') with no extension (the backend will provide a default
extension with the -d flags below). Try running
On Tuesday 04 December 2007 15:31:04 John Hunter wrote:
What about these scripts
# just make a figure
from pylab import *
figure()
Takes a long time.
# just make a subplot
from pylab import *
subplot(111)
Takes a long time.
I'm trying to narrow down where the problem is occurring and
On Tuesday 04 December 2007 15:54:17 you wrote:
OK, it is in the gtk figure creation code. Get the matplotlib
examples directory and try running examples/embedding_in_gtk.py which
does not use pylab but instead does all the gtk stuff manually. See
if you can reproduce the error. If so,
On Tuesday 04 December 2007 16:05:33 John Hunter wrote:
On Dec 4, 2007 10:00 AM, José Gómez-Dans [EMAIL PROTECTED] wrote:
Interestingly enough, the embedding_in_gtk.py script works perfectly
(takes less than a second to run), so I am not able to reproduce the
slowness!
Hmm, the plot
On Tuesday 04 December 2007 16:16:06 José Gómez-Dans wrote:
On Tuesday 04 December 2007 16:05:33 John Hunter wrote:
On Dec 4, 2007 10:00 AM, José Gómez-Dans [EMAIL PROTECTED] wrote:
Hmm, the plot thickens. How about embedding_in_gtk2.py -- this add the
toolbar
This does indeed slow
Hi,
On Thursday 06 December 2007 19:39:59 Venkat Ramanan wrote:
I'm looking for something analogous to Matlab's ginput() and roipoly().
I'm no expert on this, but have a look at the lasso_demo.py example, which
shows something akin to roipoly(), and pick_event_demo.py and
pick_even_demo2.py,
Hi,
Is there a simple way to come up with a random colourmap? I need to plot
discrete values, and I would like that the colours do not show a trend, to
easily distinguish them?
I read the cookbook entry on Doing your own colormap, but can't seem to
bring my mind into it!
Cheers!
Jose
Hi!
Some colleagues are starting to use python, matplotlib et al. for data
analysis and so on. However, they are using MacOSX computers, and neither of
us are particularly proficient in the use of OSX. I would like to know if
there's an easy way to install ipython, numpy, scipy and matplotlib
On Friday 14 March 2008 16:44:54 Chiara Caronna wrote:
I tried ds9 and It looks like this is what I would like to do (though I
couldn't try funtools, but what you describe is good). DO you think it is
possible to make something like this with matplotlib? Thanks a lot for your
The initiating
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