After thinking it over, I did not go for
Robert or David's cool numpy tricks, but
I'll append a simple object in case someone
else wants to do more.
Cheers,
Alan Isaac
class EmpiricalCDF(object):
'''Empirical cdf.
First point will be (xmin,0).
Last point will be (xmax,1).
'''
Hal Huntley wrote:
> Thanks to Eric Firing and Christopher Barker for input on trying to
> resolve the problem. Christopher said:
> %%%
> You might try just:
>
> easy_install numpy
>
> easy_install matplotlib.
> %%%
>
>
> I did that and now the problem moved and I get:
> ===
from pylab im
Looking back through the archives, I found this discussion of manipulating
ticklabels.
Jouni K. Seppänen wrote:
>
> Eugen Wintersberger <[EMAIL PROTECTED]>
> writes:
>
>> The first line is the printing of the ticklabel list before the
>> pylab.show() command. The second after pylab.show(). Why
Thanks to Eric Firing and Christopher Barker for input on trying to
resolve the problem. Christopher said:
%%%
You might try just:
easy_install numpy
easy_install matplotlib.
%%%
I did that and now the problem moved and I get:
===
>>> from pylab import *
Traceback (most recent call last):
Fi
On 9/27/07, Tom Johnson <[EMAIL PROTECTED]> wrote:
> However, it will be a little while before I can provide a status
> updateI have a presentation very soon and do not have the time to
> regenerate all my images so that the background matches my
> presentation background. Since my setup had b
On 9/27/07, Darren Dale <[EMAIL PROTECTED]> wrote:
> On Thursday 27 September 2007 01:28:46 am Tom Johnson wrote:
> > On 9/26/07, Darren Dale <[EMAIL PROTECTED]> wrote:
> > > I used your script to create the eps file, and created the attached
> > > postscript
> > > (you need an \end{document} in yo
On Thu, 27 Sep 2007, David Huard apparently wrote:
> scipy/sandbox/dhuard/stats.py
Well, I also did not think of a double application of
argsort to rank the observations. Nice. OK, I've got plenty
to work with now.
Thanks,
Alan
--
On Wed, 26 Sep 2007, Robert Kern apparently wrote:
> n = len(x)
> x2 = np.repeat(x, 2)
> y2 = np.hstack([0.0, np.repeat(np.arange(1,n) / float(n), 2), 1.0])
> pylab.plot(x2, y2)
OK, that's pretty slick.
I did not think about ``repeat``.
Thanks,
Alan
Hi Alan,
There is an empiricalcdf function in scipy/sandbox/dhuard/stats.py
It's not fancy but it might do what you want.
David
2007/9/26, Alan Isaac <[EMAIL PROTECTED]>:
>
> Is there a standard function or practice for
> plotting the CDF of a series? (I am aware
> of the output of hist.)
>
> T
On Thursday 27 September 2007 09:34:28 am Darren Dale wrote:
> On Thursday 27 September 2007 01:28:46 am Tom Johnson wrote:
> > On 9/26/07, Darren Dale <[EMAIL PROTECTED]> wrote:
> > > I used your script to create the eps file, and created the attached
> > > postscript
> > > (you need an \end{docum
On Thursday 27 September 2007 01:28:46 am Tom Johnson wrote:
> On 9/26/07, Darren Dale <[EMAIL PROTECTED]> wrote:
> > I used your script to create the eps file, and created the attached
> > postscript
> > (you need an \end{document} in your latex code).
>
> Whoops!
>
>
> Do you see anything wrong
>
Thanks much! But, it didn't help. The second figure got still really
slow and closes right away after it finishes drawing not giving enough
time to me to see the figure. Then, it crashed for the third one. Any
idea?
Young Jin
-Original Message-
From: Wolfgang Kerzendorf [mailto:[EMAIL PRO
Andrew Straw wrote:
> I came across this piece by Adam Hupp on programming.reddit.com just
> now. It looks interesting:
>
> http://hupp.org/adam/weblog/2007/09/03/etframes-applying-the-ideas-of-edward-tufte-to-matplotlib/
>
>
>
This is indeed really interesting. Thanks for this link,
David
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