This is correct, and is standard for almost all publications I know. You
are allowed to publish the article on your own personal website (provided
you use the published version or explicitly list the copyrights), but
nowhere else.
Cheers,
Suresh
On Wed, 25 Apr 2007, Fernando Perez wrote:
> We
I get this behaviour as well, but only on first usage of show().
However, after that there is no problem. The default is to start off with
interactive mode off, but the first usage of show() turns it on.
So I would guess that the problem is that with interactive mode turned
off, the figure win
ast one problem) is, and I will try to get
> it fixed by tomorrow. In the meantime, I think you will get the results you
> want by simply converting your arrays to floating point:
>
> matshow(matrix.astype(float), ...)
>
> Eric
>
> Suresh Pillai wrote:
> > So I
So I been using the log scale provided by matplotlib.colors.LogNorm, but
have been seing bizarre behaviour. Basically, high values are not
displayed properly. I give simple examples below with just two possible
values in the matrix, but all the same issues arise with more varied
values.
Firs
The new matshow() seems to like ticks every 4 units (or multiples of 4
for larger scales) rather than the normal, more desirable every 5 units.
Compare:
import pylab
matrix = pylab.rand(30,30)
pylab.matshow(matrix)
pylab.show()
with
import pylab
matrix = pylab.rand(30,30)
pylab.imshow(matrix)
Continuing from a previous thread re the new matshow(), adding a
colorbar() causes the matrix to shrink relative to the colorbar.
Furthermore this colorbar overlaps with the figure title.
For those like me who need a colorbar as a legend and/or who do not want
the matrix visualisation in a new
Thanks again Eric for the updated matshow().
I apologise for repeating:
Since it has been decided (has it?) that matshow will retain the feature
that a new figure is created (with aspect ratio matching the matrix), then
if one adds a colorbar (a typical thing to do), the matrix height is
small
On Sun, 18 Mar 2007, Eric Firing wrote:
> One of the matshow anomalies is that it is a pylab function only instead
> of a wrapper for an Axes method, so I made a new Axes.matshow(), and a
> temporary matshow1() pylab function that calls it. Differences between
> matshow() and matshow1():
>
> 1) T
fore to get the output looking like
matshow()
Cheers,
Suresh
On Thu, 8 Mar 2007, Suresh Pillai wrote:
> If one inserts a colorbar after using matshow, then the matrix plot's aspect
> ratio is incorrect altered. Here are 2 cases to compare
>
> import pylab
> matrix = pylab.
I discovered the same problem, so I went looking and found the mailing
list properly archived at nabble.com:
http://www.nabble.com/Creating-a-non-linear-colormap.-t3362841.html
Cheers,
Suresh
On Fri, 9 Mar 2007, Ken McIvor wrote:
> On Mar 9, 2007, at 5:11 AM, Uwe Schmitt wrote:
>>
>> Thanks, b
If one inserts a colorbar after using matshow, then the matrix plot's
aspect ratio is incorrect altered. Here are 2 cases to compare
import pylab
matrix = pylab.rand(30,30)
1) matshow() before colorbar()
pylab.matshow(matrix)
pylab.colorbar()
pylab.show()
The matrix plot is squished in the x-
On Thu, 1 Mar 2007, Eric Firing wrote:
> I agree, and this is a problem with spy also. If I remember, I will fix it.
> It is only a minor annoyance, so it is low priority, though.
>
> There is a difference in the way the axes are labeled between spy and
> matshow, and I would like to change m
ng this without manually setting the
ticks and labels (ironically using forced *.5 ticks)?
I guess I should code and submit it myself. :)
Thanks very much,
Suresh
On Thu, 1 Mar 2007, Eric Firing wrote:
> Suresh Pillai wrote:
>> I am using imshow to visualise matrices. When I use al
I am using imshow to visualise matrices. When I use align='upper'
(default), the origin is still displayed in the lower left corner on the
axes - i.e. the y-axis is wrong. The data is plotted correctly with the
origin in the upper left corner.
Seems to be a bug?
Cheers,
Suresh
-
import pylab
data1=[1,2,3,4,5,6,7]
data2=[8,9,10,11,12,13,14]
dates=['01','02','03','04','05','06','07']
pylab.subplot(211)
pylab.plot(data1, label='Score 2005')
pylab.plot(data2, label='Num 2006')
pylab.setp(pylab.gca(), xticklabels=[])
pylab.ylabel('Score 2')
pylab.title('Historical Statistics'
n an empty plot of subplot 212 (no data, no legend, but yes
for ticks and axis titles).
Thanks,
Suresh
On Wed, 28 Feb 2007, Suresh Pillai wrote:
> I posed the question below back in Nov, but never received a response.
> Thought I'd try again, as I really do need this kind of plot
I posed the question below back in Nov, but never received a response.
Thought I'd try again, as I really do need this kind of plot, and I don't
want to leave the world of matplotlib, which has improved my efficiency
greatly in plotting.
Thanks,
Suresh
-- Forwarded message --
I have a figure with two subplots as below. However, everything breaks
when I try to rotate the x-labels as indicated in the two commented out
lines. I obtain a small empty plot embedded in a large empty plot with no
x-labels and no legend either. I got this code from the tutorial; it
works
Thanks for the support.
I uninstalled numarray, and then compiled/installed most recent numpy and
matplotlib from the tarballs.
And I am happy to announce I can now perform the mundane task of plotting
barcharts and histograms. :)
Thanks again everyone,
Suresh
On Thu, 26 Oct 2006, Eric Firing
Yes, both are mandriva packages:
python-matplotlib-0.87.4-2mdv2007.0
python-numarray-1.5.2-1mdv2007.0
Given there isnt a python-numpy package for x64-64 right now (there is a
devel one, so not sure why no main package), I will go ahead and try to
build from scratch.
Thanks,
Suresh
On Thu, 2
And yes my numerix is set to numarray as default:
$ python barchart_demo.py --verbose-helpful
...
numerix numarray 1.5.2
...
Thanks,
Suresh
On Thu, 26 Oct 2006, Suresh Pillai wrote:
> The exception I posted is being thrown by numarray, so it is definitely
> being used.
>
> As
The exception I posted is being thrown by numarray, so it is definitely
being used.
As I stated, it was thrown while executing one of the examples provided
with the matplotlib package:
#!/usr/bin/env python
# barchart_demo.py
# a bar plot with errorbars
from pylab import *
N = 5
menMeans = (20
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