stack in interpolate_one might be the time hog; I see claims that plain
vector is faster.
StackVectorint, 128 in
http://stackoverflow.com/questions/354442/looking-for-c-stl-like-vector-class-but-using-stack-storage
looks nice, but I haven't timed it myself.
cheers
-- denis
--
View this
thanks!!
only 4 left.
On Mon, Jul 27, 2009 at 11:31 AM, Gökhan SEVER gokhanse...@gmail.comwrote:
For the 5th one ;)
figure(frameon=False)
On Mon, Jul 27, 2009 at 8:26 AM, Gewton Jhames gjha...@gmail.com wrote:
Hello, would you help me in some design issues that I wish to put in my
On Mon, Jul 27, 2009 at 11:55 AM, Tony S Yuton...@mit.edu wrote:
The 3rd issue is a bit more difficult. One approach is to use
Jae-Joon's AxesGrid toolkit; you
may need to be using the latest development version of matplotlib to use the toolkit.
I think it would be easier to use the recently
Well, I think the meaning of the axis(equal) is a bit misleading (at
least to me), but if you look at the documentation, it says that it
changes the xlimit and ylimit (limits in data coordinate), so this is
NOT what you want.
What you need is axis(scaled) or axis(image).
Ryan May wrote:
Put this in your ~/.ipython/ipythonrc:
pylab_import_all 0
I finally got around to doing this, and found:
# ===
# Deprecation note: you should look into modifying ipy_user_conf.py
(located
# in
Paul Anton Letnes wrote:
Hi,
I'm having strange problems with contourf plots. The plotting routine is
rather elaborate, so I don't have an easy way to reproduce the problem
(unfortunately). The problem should be evident from the attachments. As
you can see, the contourf routine doesn't
On Mon, Jul 27, 2009 at 2:40 PM, Christopher Barker
chris.bar...@noaa.govwrote:
Ryan May wrote:
Put this in your ~/.ipython/ipythonrc:
pylab_import_all 0
I finally got around to doing this, and found:
# ===
#
Thanks everyone. Everything works perfectly.
Only a few things left:
1. How to trim the canvas of the image generated? It's transparent, but
still have a padding, if it would be cropped, I can safe almost 200px!. I
have attached a file to this email to show it, the background of the
That's right Gökhan, I should have thought on it before ask. Thanks.
Only the first one remains... this one I could not find a way. I know there
is one class called FigureCanvasAgg, but I didn't find anything on it.
On Mon, Jul 27, 2009 at 5:16 PM, Gökhan SEVER gokhanse...@gmail.com wrote:
For
On Mon, Jul 27, 2009 at 10:55 AM, Tony S Yuton...@mit.edu wrote:
Below is some code to do 1, 2, and 4.
The 3rd issue is a bit more difficult. One approach is to use
Jae-Joon's AxesGrid toolkit; you
may need to be using the latest development version of matplotlib to use the toolkit.
BTW, does
On Mon, Jul 27, 2009 at 3:06 PM, Gewton Jhamesgjha...@gmail.com wrote:
Thanks everyone. Everything works perfectly.
Only a few things left:
How to trim the canvas of the image generated? It's transparent, but still
have a padding, if it would be cropped, I can safe almost 200px!. I have
On Mon, Jul 27, 2009 at 4:06 PM, Gewton Jhamesgjha...@gmail.com wrote:
How to trim the canvas of the image generated? It's transparent, but still
have a padding, if it would be cropped, I can safe almost 200px!. I have
attached a file to this email to show it, the background of the graph was
Hi all,
I've recently implemented a simple equal area (Lambert) projection in
mpl, using two polar Axes (to draw each hemisphere), and this
currently works fine to draw lines and points, since I'm transforming
the points in my own code, from 3d-polar to 2d-projected-polar
co-ordinates, and then
Angus McMorland wrote:
Hi all,
I've recently implemented a simple equal area (Lambert) projection in
mpl, using two polar Axes (to draw each hemisphere), and this
currently works fine to draw lines and points, since I'm transforming
the points in my own code, from 3d-polar to
Hello,
matplotlib have nice and helpfull feature - navigation toolbar. But in some
cases some default buttons are not needed. Is it possible to customize
NavigationToolbar (e.g. disable or hide some buttons)? I'm use matplotlib with
PyQt 4.4.3 and Python 2.5.4 under Windows XP.
Thanks,
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