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Showing 5 results of 5

From: Jeff K. <kl...@wi...> - 2010年05月13日 15:12:08
I was using matplotlib 0.99.1.1. I just set up an Ubuntu system in
VirtualBox so I could run the current svn trunk, and all is well. It
looks like the fix has already been implemented.
On Wed, May 12, 2010 at 3:06 PM, Jeff Klukas <kl...@wi...> wrote:
> I've looked now through the source code for axes.hist, and I see where
> the problem is. If any value of any bin of the histogram is zero,
> then axes.fill fails, as zero is necessarily outside the y boundaries
> of the axes for log scale.
>
> Already, a default value of 1e-100 is chosen for the first and last
> points given to axes.fill. If you also clean the histogram, replacing
> all zero y-values with 1e-100, then the fill succeeds. I see no
> downside to this treatment, since the default value has already been
> introduced.
>
> The user will still need to choose a reasonable lower limit for the y-axis.
>
> Any objections or concerns?
>
> Cheers,
> Jeff
>
> On Wed, May 12, 2010 at 11:13 AM, Jeff Klukas <kl...@wi...> wrote:
>> When creating a histogram with histtype='stepfilled' and log=True, the
>> fill always ends up getting cut off diagonally. It looks like it's
>> connection one datapoint with 10^-100 on the other side of the plot.
>> So, also, it looks like it's always choosing 10^-100 as an arbitrary
>> lower limit, which is another problem.
>>
>> Is this a known bug? Does anybody have ideas for an intelligent way
>> to handle stepfilled log histograms?
>>
>> A working example is below, with the output plot attached.
>>
>> Thanks,
>> Jeff
>>
>> || Jeff Klukas, Research Assistant, Physics
>> || University of Wisconsin -- Madison
>> || jeff.klukas@gmail | jeffyklukas@aim | jeffklukas@skype
>> || http://www.hep.wisc.edu/~jklukas/
>>
>> ---------------------------------------------
>> #!/usr/bin/env python
>> import numpy as np
>> import matplotlib.mlab as mlab
>> import matplotlib.pyplot as plt
>>
>> mu, sigma = 100, 15
>> x = mu + sigma*np.random.randn(10000)
>>
>> # the histogram of the data
>> n, bins, patches = plt.hist(x, 50, normed=1, facecolor='green', alpha=0.75,
>>              log=True, histtype='stepfilled')
>>
>> plt.xlabel('Smarts')
>> plt.ylabel('Probability')
>> plt.title(r'$\mathrm{Histogram\ of\ IQ:}\ \mu=100,\ \sigma=15$')
>> plt.axis([40, 160, 0, 0.03])
>> plt.grid(True)
>>
>> plt.show()
>> ---------------------------------------------
>>
>
From: Gael V. <gae...@no...> - 2010年05月13日 14:48:07
 Registration for EuroScipy
 <http://www.euroscipy.org//conference/euroscipy2010> is finally open
To register, go to the website 
<http://www.euroscipy.org//conference/euroscipy2010>, create an account, 
and you will see a /‘register to the conference’/ button on the left. 
Follow it to a page which presents a /’shoping cart’/. Simply submitting 
this information registers you to the conference, and on the left of the 
website, the button will now display /‘You are registered for the 
conference’/.
The registration fee is 50 euros for the conference, and 50 euros for 
the tutorial. Right now there is no payment system: you will be 
contacted later (in a week) with instructions for paying.
We apologize for such a late set up. We do realize this has come as an 
inconvenience to people.
*Do not wait to register: the number of people we can host is limited.*
 An exciting program
 Tutorials: from beginners to experts
We have two tutorial tracks:
 * *Introductory tutorial* <http://www.euroscipy.org/track/871>: to
 get you to speed on scientific programming with Python.
 * *Advanced tutorial* <http://www.euroscipy.org/track/872>: experts
 sharing their knowledge on specific techniques and libraries.
 We are very fortunate to have a top notch set of presenters.
 Scientific track: doing new science in Python
Although the abstract submission is not yet over, We can say that we are 
going to have a rich set of talks, looking at the current submissions. 
In addition to the contributed talks, we have:
 * *Keynote speakers*
 <http://www.euroscipy.org/conference/euroscipy2010>: Hans Petter
 Langtangen and Konrard Hinsen, two major player of scientific
 computing in Python.
 * *Lightning talks* <http://www.euroscipy.org/talk/937>: one hour
 will be open for people to come up and present in a flash an
 interesting project.
 Publishing papers
We are talking with the editors of a major scientific computing journal, 
and the odds are quite high that we will be able to publish a special 
issue on scientific computing in Python based on the proceedings of the 
conference. The papers will undergo peer-review independently from the 
conference, to ensure high quality of the final publication.
 Call for papers
Abstract submission is still open, though not for long. We are 
soliciting contributions on scientific libraries and tools developed 
with Python and on scientific or engineering achievements using Python. 
These include applications, teaching, future development directions, and 
current research. See the call for papers 
<http://www.euroscipy.org/card/euroscipy2010_call_for_papers>.
*We are very much looking forward to passionate discussions about Python 
in science in Paris*
*Nicolas Chauvat and Gaël Varoquaux*
From: Gaël V. <gae...@no...> - 2010年05月13日 13:39:08
The registration for
EuroScipy<http://www.euroscipy.org//conference/euroscipy2010>is
finally open.
To register, go to the
website<http://www.euroscipy.org//conference/euroscipy2010>,
create an account, and you will see a *‘register to the conference’* button
on the left. Follow it to a page which presents a *’shoping cart’*. Simply
submitting this information registers you to the conference, and on the left
of the website, the button will now display *‘You are registered for the
conference’*.
The registration fee is 50 euros for the conference, and 50 euros for the
tutorial. Right now there is no payment system: you will be contacted later
(in a week) with instructions for paying.
We apologize for such a late set up. We do realize this has come as an
inconvenience to people.
*Do not wait to register: the number of people we can host is limited.*
An exciting program Tutorials: from beginners to experts
We have two tutorial tracks:
 - *Introductory tutorial* <http://www.euroscipy.org/track/871>: to get
 you to speed on scientific programming with Python.
 - *Advanced tutorial* <http://www.euroscipy.org/track/872>: experts
 sharing their knowledge on specific techniques and libraries.
 We are very fortunate to have a top notch set of presenters.
Scientific track: doing new science in Python
Although the abstract submission is not yet over, We can say that we are
going to have a rich set of talks, looking at the current submissions. In
addition to the contributed talks, we have:
 - *Keynote speakers* <http://www.euroscipy.org/conference/euroscipy2010>:
 Hans Petter Langtangen and Konrard Hinsen, two major player of scientific
 computing in Python.
 - *Lightning talks* <http://www.euroscipy.org/talk/937>: one hour will be
 open for people to come up and present in a flash an interesting project.
Publishing papers
We are talking with the editors of a major scientific computing journal, and
the odds are quite high that we will be able to publish a special issue on
scientific computing in Python based on the proceedings of the conference.
The papers will undergo peer-review independently from the conference, to
ensure high quality of the final publication.
Call for papers
Abstract submission is still open, though not for long. We are soliciting
contributions on scientific libraries and tools developed with Python and on
scientific or engineering achievements using Python. These include
applications, teaching, future development directions, and current research.
See the call for
papers<http://www.euroscipy.org/card/euroscipy2010_call_for_papers>
.
*We are very much looking forward to passionate discussions about Python in
science in Paris*
*Nicolas Chauvat and Gaël Varoquaux*
From: Ian T. <ian...@go...> - 2010年05月13日 09:27:19
Patch committed as svn revision 8316.
Ian
From: Peter B. <bu...@gm...> - 2010年05月13日 07:12:01
Attachments: qt4_editor.zip
patch attached
qt4ed_demo.py is an example file which should be put in
matplotlib\examples\pylab_examples
other than that figureoptions.py is the only file changed.
On Wed, May 12, 2010 at 11:56 PM, Darren Dale <dsd...@gm...> wrote:
> No, I'm sorry. Its unfair to you that I am the bottleneck here. I just
> looked for the patch at
> http://sourceforge.net/tracker/?func=detail&aid=2981606&group_id=80706&atid=560722
> but didn't find it. Is the figureoptions.py file there all that is
> needed?
>
> On Wed, May 12, 2010 at 4:46 PM, Peter Butterworth <bu...@gm...> wrote:
>> Hi Darren,
>>
>> Any progress on looking at the Qt4editor patch ?
>>
>>
>> On Wed, Apr 14, 2010 at 1:44 PM, Darren Dale <dsd...@gm...> wrote:
>>>> Darren might be helpful at this point to submit the changes.
>>>
>>> My time is completely spoken for this week. But I'll have a look this
>>> weekend if some helpful person doesn't beat me to it.
>>>
>>> Darren
>>
>>
>> --
>> thanks,
>> peter butterworth
>>

Showing 5 results of 5

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