The automatic placement functionality of legend() is nice. I'd like to
make use of it to place a box with just a title or title and comment
(ie, some text) but no lines or legend entries. Does anyone know a
way to do this?
--
http://mail.python.org/mailman/listinfo/python-list
rom pylab import *
plot([0,0],[1,1],label='Ubuntu 11.10')
Before I upgraded to 2.7.2+ / 4 OCt 2011, the following code added a
comment line with a legend.
Now, the same code makes the legend appear "off-screen", ie way
outside the axes limits.
Can anyone help? And/or is there a new way to add a ti
"""
Before I upgraded to 2.7.2+ / 4 OCt 2011, the following code added a
comment line to an axis legend using matplotlib / pylab.
Now, the same code makes the legend appear "off-screen", ie way
outside the axes limits.
Can anyone help? And/or is there a new way to add a title and footer
to the le
I cannot figure out what I'm doing wrong. The following does not
return a fixed point:
from scipy import optimize
xxroot= optimize.fixed_point(lambda xx: exp(-2.0*xx)/2.0, 1.0,
args=(), xtol=1e-12, maxiter=500)
print ' %f solves fixed point, ie f(%f)=%f ?'%
(xxroot,xxroot,exp(-2.0*xxroot)/2.0)
C
On Dec 21, 9:36 am, Robert Kern wrote:
> When you do, please provide the information that Terry Reedy asked for.
>
Sorry; quite right. For completeness I'll post here as well as over on
scipy.
Here's the actual code:
-
from scipy import optimize
from math import exp
xxroot= o
I am looking for some reaally basic statistical tools. I have some
sample data, some sample weights for those measurements, and I want to
calculate a mean and a standard error of the mean.
Here are obvious places to look:
numpy
scipy.stats
statsmodels
It seems to me that numpy's "mean" and "aver
> The best place to ask about numpy related stuff is the numpy mailing list at:
>
> http://mail.scipy.org/mailman/listinfo/numpy-discussion
>
> This is also the best place to present a patch if you have code to
> contribute. In my experience the numpy devs are always happy to have
> new contributo
Hello. There is a function for R (http://bm2.genes.nig.ac.jp/RGM2/
R_current/library/maptools/man/pointLabel.html) to help with placing/
locating text labels in an optimized way so as to minimise some
measure of text overlap (or likely text overlap). Has anyone written
or ported such a thing for
> measure of text overlap (or likely text overlap). Has anyone written
> or ported such a thing for Python?
Hm (talking to myself)... the link I gave above has some references,
and one of those includes some python code. Seems not packaged up yet
for plots, but may be close:
http://meta.wikimedi
