2009/10/1 ringobelingo ringobeli...@gmail.com:
I would like to add coastlines to a map but do not want interior
'coastlines'. At present, without them my continents are not distinct enough
from the data I am plotting in the background. But, when I draw them using
drawcoastlines(), I also get
Hi,
I think I've figured out what's going on. It's a combination of things:
1) iPython is ignorant of the problems associated with caching massive data
output
2) iPython doesn't seem to have a good way to clear data from memory
reliably (https://bugs.launchpad.net/ipython/+bug/412350)
3)
Scott Sinclair wrote:
2009/10/1 ringobelingo ringobeli...@gmail.com:
I would like to add coastlines to a map but do not want interior
'coastlines'. At present, without them my continents are not distinct enough
from the data I am plotting in the background. But, when I draw them using
VáclavŠmilauer wrote:
I checked the official terminology, it is a kernel average smoother
(in the sense of [1]) with special weight function exp(-(x-x0)^2/const),
operating on irregularly-spaced data in 2d.
I am not sure if that is the same as what scipy.stats.kde.gaussian_kde does,
the
hi all,
i am trying to install the recent matplotlib (0.99.1.1) but i am
getting an error about wxPython not being available. i thought wx is
an optional backend? in any case i would not like to use it. is there
a way to install matplotlib without?
my command was:
python setup.py install
Whenever I run the statement:
from pylab import randn, hist
OR
import matplotlib.pyplot as plt
Python crashes, no error ... nothing
Running under Python 2.5
Any ideas?
Hello,
I am new to matplotlib and am having trouble understanding how to set
the size of a subplot when a figure contains multiple subplots. In
particular, I have been playing around with the scatter_hist.py demo
at http://matplotlib.sourceforge.net/examples/axes_grid/scatter_hist.html.
A
You will probably want to add axes explicitly (not with subplot), e.g.
fig.add_axes([.1,.1,.71,.8])
specifies the coordinates of one corner and the width and height (in
proportions of the figure size). When doing this explicitly, you will
probably need to do some extra adjustments to fit the
Hi all,
I'm making multiple semilogy histograms, which for now are on separate
figures and not in subplots. Here's something patched together:
def makehistogram(data,strtitle, filename):
fig = Figure()
pylab.hold(False)
pylab.semilogy(base=10)
n, bins, patches = pylab.hist(data,
I just want to mention that axes size in mpl, by design, is supposed
to be proportional to the figure size, so there could be cases when a
fixed-sized axes messes up something. Furthermore, using axes_grid
toolkit can be a bit tricky, so I (as an author of the axes_grid
toolkit) personally do no
with hold=False, the axes is reset whenever something new is added to
the axes. Instead of using pylab.hold(False), clear the figure or axes
explicitly (clf() or cla())
-JJ
On Mon, Oct 5, 2009 at 9:58 PM, Ross Anderson rpander...@gmail.com wrote:
Hi all,
I'm making multiple semilogy
Jae-Joon Lee wrote:
As one of who never used Sage, I don't think I'll be any help here.
Anyhow, can you tell us what kind of backed is used by default in the
two environment? I mean the type of the canvas that is initially
created.
Thanks for following up on this. Is there an easy way to
On Mon, Oct 5, 2009 at 10:25 PM, jason-s...@creativetrax.com wrote:
Jae-Joon Lee wrote:
As one of who never used Sage, I don't think I'll be any help here.
Anyhow, can you tell us what kind of backed is used by default in the
two environment? I mean the type of the canvas that is initially
Jae-Joon Lee wrote:
On Mon, Oct 5, 2009 at 10:25 PM, jason-s...@creativetrax.com wrote:
Jae-Joon Lee wrote:
As one of who never used Sage, I don't think I'll be any help here.
Anyhow, can you tell us what kind of backed is used by default in the
two environment? I mean the type of
2009/10/5 Ernest Adrogué eadro...@gmx.net:
is it possible to draw unfilled scatter points?
Yes, try the following
import numpy as np
import matplotlib.pyplot as plt
x = np.random.rand(10)
y = np.random.rand(10)
plt.scatter(x, y, facecolor='none')
plt.show()
Also take a look at
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