Michael Droettboom wrote:
You can use the twinx/twiny methods to join two axes after they've been
created.
I don't think we currently provide a way to unjoin the subplots (either
in the axes or in the Grouper class itself.) I think that's
functionality we would need to add. If you can be
Hello,
Printing in wx (with printing_in_wx.py from mpl examples) doesn't work
on all pc (windows) I have tested.
A crash occur as described in the thread Printing in wx
http://sourceforge.net/mailarchive/message.php?msg_id=00de01c9dec9%240fed4310%241022a8c0%40ipkgatersleben.de
The only
OK, yesterday I was taking a look to the patch module. then, I went home.
Today, I'll continue to look at these properties of alpha. because, yes,
that's what's happening. one have alpha .5 and the other, 1.
Answering Mike's question: the first system (the one I've wrote the code) is
ubuntu 9.04,
Christopher Barrington-Leigh wrote:
This does not. First of all, ~ and \mbox are not supported if
usetex=False and I guess never will be. On the other hand,
as far as I can see, the whitespace stripping is not done in mpl
side. And I have a feeling that it may be the freetype library. mpl
Yeah, alpha handling is a bit of a mess -- it should probably be
revamped in light of the fact that most places now accept rgba. We just
need to decide if there is a good solution that doesn't break backward
compatibility, or whether we should just break compatibility (e.g.
remove
I'm not quite clear on what changes you made. Can you provide a patch?
Also -- have you tested the change I committed here:
http://matplotlib.svn.sourceforge.net/viewvc/matplotlib/branches/v0_99_maint/lib/matplotlib/patches.py?r1=7443r2=7837pathrev=7837
Cheers,
Mike
Gewton Jhames wrote:
solved.
In the system with the 0.99 version, in the file axes.py, class Axes, method
pie, the shadow is created:
if shadow:
# make sure to add a shadow after the call to
# add_patch so the figure and transform props will be
# set
Hi everyone,
We're having a problem in Sage where if we specify the dpi of a figure,
the bottom of the figure is cut off, but only the first time we save
it. If we save the figure again, with the same arguments, the resulting
image looks fine. I'm puzzled whether this is a Sage problem or a
worked fine.
On Thu, Oct 1, 2009 at 1:10 PM, Michael Droettboom md...@stsci.edu wrote:
I'm not quite clear on what changes you made. Can you provide a patch?
Also -- have you tested the change I committed here:
hi all,
i am parsing a csv text file as follows:
data = genfromtxt(filename, delimiter=delimiter, dtype=None, names=True)
this returns an array. sometimes though i want to access the element
that has value x in, say, the first column. i usually do this like
this:
nonzero(data['first_column']
sorry, I forget the patch
very simple.no big deal.
On Thu, Oct 1, 2009 at 2:04 PM, Gewton Jhames gjha...@gmail.com wrote:
worked fine.
On Thu, Oct 1, 2009 at 1:10 PM, Michael Droettboom md...@stsci.eduwrote:
I'm not quite clear on what changes you made. Can you provide a patch?
Also --
Eric Firing wrote:
I have committed a change to svn trunk, so that if you change the
above to
q = plt.quiver([0],[0], [1], [1], scale_units='xy', angles='xy', scale=1)
Eric,
You might recall that I spent a bit of time making a stick plot with
quiver. I go to work OK, but I couldn't do
Hello all,
What is the best way to plot a 2d histogram?
(Note that a 2d histogram is a histogram of a bivariate variable,
so it's got to be a 3d plot.)
Ideally, it should look somewhat like this:
http://www.desy.de/~mraue/public/rootTutorial/v0.2/histogram02.gif
For now, I have tried to do
On Thu, Oct 1, 2009 at 5:29 PM, Ernest Adrogué eadro...@gmx.net wrote:
Hello all,
What is the best way to plot a 2d histogram?
(Note that a 2d histogram is a histogram of a bivariate variable,
so it's got to be a 3d plot.)
Ideally, it should look somewhat like this:
Christopher Barker wrote:
Eric Firing wrote:
I have committed a change to svn trunk, so that if you change the
above to
q = plt.quiver([0],[0], [1], [1], scale_units='xy', angles='xy', scale=1)
Eric,
You might recall that I spent a bit of time making a stick plot with
quiver. I go to
Here is a snippet that might get you started:
import numpy as np
from matplotlib import pyplot as plt
from matplotlib import cm
import mpl_toolkits.mplot3d as plt3
data = np.random.random((8,8))**4
cmap = cm.RdBu
fig = plt.figure()
ax = plt3.Axes3D(fig)
d = 0.1
w, h = data.shape
for x in
I have a friend who's having strange memory issues when opening and
displaying images (using Matplotlib).
Here's what he says:
###
pylab seems really inefficient: Opening a few images and displaying them
eats up tons of memory, and the memory doesn't get
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