matplotlib-devel Mailing List for matplotlib

ayuffa, on 2011年07月07日 13:54, wrote:
> Have your changes to axes.py, namely breakx and breaky, been accepted? If
> not, could you post your axes.py file.
Here's an example, I'm looking into why it's not making it to the
official docs right now, but you should be able to run it
locally:
https://github.com/matplotlib/matplotlib/blob/master/examples/pylab_examples/broken_axis.py
best,
-- 
Paul Ivanov
314 address only used for lists, off-list direct email at:
http://pirsquared.org | GPG/PGP key id: 0x0F3E28F7 

And the last one:
http://www.loria.fr/~rougier/tmp/circle.png
http://www.loria.fr/~rougier/tmp/circle.py
showing some precise text manipulation (but it is quite slow to display because of the interactive mode. I do not know if it can be made faster).
Nicolas
On Jul 11, 2011, at 9:33 AM, Nicolas Rougier wrote:
> 
> Another one about radar chart:
> 
> http://www.loria.fr/~rougier/tmp/radar-chart.png
> 
> http://www.loria.fr/~rougier/tmp/radar-chart.py
> 
> 
> Nicolas
> 
> 
> 
> On Jul 9, 2011, at 4:30 PM, Nicolas Rougier wrote:
> 
>> 
>> Thanks.
>> 
>> Here is another try inspired from:
>> http://www.nytimes.com/imagepages/2007/07/29/health/29cancer.graph.web.html
>> 
>> Results
>> http://www.loria.fr/~rougier/tmp/diseases.png
>> 
>> 
>> By the way, the matplotlib gallery (from the website) is incredibly useful when you need to know how to do something quickly, but the lack of organization in the different figures make search sometimes difficult. Maybe a rough structure (1D/2D/3D, plot/bars/imshow ...) in the examples could be even more useful as well as carefully choosing relevant examples (for example, the filledmarker_demo produces 12 figures that are more or less the same) ?
>> 
>> 
>> 
>> Nicolas
>> 
>> 
>> Here is the script:
>> 
>> <diseases-pylab.py>
>> 
>> 
>> 
>> On Jul 9, 2011, at 8:45 AM, Chris Petrich wrote:
>> 
>>> I agree, very instructional example.
>>> As for the width of the tick lines, line 78
>>> line.set_linewidth(1)
>>> should probably read
>>> line.set_markeredgewidth(1)
>>> though.
>>> 
>>> Chris
>>> 
>>>> Date: Fri, 8 Jul 2011 16:18:52 -0600
>>>> From: G?khan Sever <gok...@gm...>
>>>> Subject: Re: [matplotlib-devel] Contributed example
>>>> To: Nicolas Rougier <Nic...@in...>
>>>> Cc: matplotlib development list
>>>> <mat...@li...>
>>>> Message-ID:
>>>> <CAE...@ma...>
>>>> Content-Type: text/plain; charset="utf-8"
>>>> 
>>>> I think this illustration deserves its places amongst the mpl gallery
>>>> --probably somewhere towards the very beginning.
>>>> 
>>>> Thanks for the well documented code Nicolas.
>>>> On Fri, Jul 8, 2011 at 2:09 AM, Nicolas Rougier <Nic...@in...>wrote:
>>>> 
>>>>> 
>>>>> 
>>>>> Hi,
>>>>> 
>>>>> 
>>>>> I've been playing with matplotlib to check if it can produce graphics like:
>>>>> 
>>>>> 
>>>>> http://www.thebuzzmedia.com/wp-content/uploads/2010/03/anandtech-nvidia-geforce-480-ati-benchmark2.png
>>>>> 
>>>>> 
>>>>> Here is the result:
>>>>> http://www.loria.fr/~rougier/tmp/benchmark.png
>>>>> 
>>>>> and the script (as attachment)
>>>>> 
>>>>> I do not know if it's worth adding it to examples ?
>>>>> 
>>>>> 
>>>>> 
>>>>> Nicolas
>>>>> 
>>>>> 
>>>>> 
>>>>> 
>>>>> ------------------------------------------------------------------------------
>>>>> All of the data generated in your IT infrastructure is seriously valuable.
>>>>> Why? It contains a definitive record of application performance, security
>>>>> threats, fraudulent activity, and more. Splunk takes this data and makes
>>>>> sense of it. IT sense. And common sense.
>>>>> http://p.sf.net/sfu/splunk-d2d-c2
>>>>> _______________________________________________
>>>>> Matplotlib-devel mailing list
>>>>> Mat...@li...
>>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
>>>>> 
>>>>> 
>>>> 
>>>> 
>>>> --
>>>> G?khan
>>>> -------------- next part --------------
>>>> An HTML attachment was scrubbed...
>>>> 
>>>> ------------------------------
>>>> 
>>>> ------------------------------------------------------------------------------
>>>> All of the data generated in your IT infrastructure is seriously valuable.
>>>> Why? It contains a definitive record of application performance, security
>>>> threats, fraudulent activity, and more. Splunk takes this data and makes
>>>> sense of it. IT sense. And common sense.
>>>> http://p.sf.net/sfu/splunk-d2d-c2
>>>> 
>>>> ------------------------------
>>>> 
>>>> _______________________________________________
>>>> Matplotlib-devel mailing list
>>>> Mat...@li...
>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
>>>> 
>>>> 
>>>> End of Matplotlib-devel Digest, Vol 62, Issue 3
>>>> ***********************************************
>> 
>> ------------------------------------------------------------------------------
>> All of the data generated in your IT infrastructure is seriously valuable.
>> Why? It contains a definitive record of application performance, security 
>> threats, fraudulent activity, and more. Splunk takes this data and makes 
>> sense of it. IT sense. And common sense.
>> http://p.sf.net/sfu/splunk-d2d-c2_______________________________________________
>> Matplotlib-devel mailing list
>> Mat...@li...
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
> 
> 
> ------------------------------------------------------------------------------
> All of the data generated in your IT infrastructure is seriously valuable.
> Why? It contains a definitive record of application performance, security 
> threats, fraudulent activity, and more. Splunk takes this data and makes 
> sense of it. IT sense. And common sense.
> http://p.sf.net/sfu/splunk-d2d-c2
> _______________________________________________
> Matplotlib-devel mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-devel

Another one about radar chart:
http://www.loria.fr/~rougier/tmp/radar-chart.png
http://www.loria.fr/~rougier/tmp/radar-chart.py
Nicolas
On Jul 9, 2011, at 4:30 PM, Nicolas Rougier wrote:
> 
> Thanks.
> 
> Here is another try inspired from:
> http://www.nytimes.com/imagepages/2007/07/29/health/29cancer.graph.web.html
> 
> Results
> http://www.loria.fr/~rougier/tmp/diseases.png
> 
> 
> By the way, the matplotlib gallery (from the website) is incredibly useful when you need to know how to do something quickly, but the lack of organization in the different figures make search sometimes difficult. Maybe a rough structure (1D/2D/3D, plot/bars/imshow ...) in the examples could be even more useful as well as carefully choosing relevant examples (for example, the filledmarker_demo produces 12 figures that are more or less the same) ?
> 
> 
> 
> Nicolas
> 
> 
> Here is the script:
> 
> <diseases-pylab.py>
> 
> 
> 
> On Jul 9, 2011, at 8:45 AM, Chris Petrich wrote:
> 
>> I agree, very instructional example.
>> As for the width of the tick lines, line 78
>> line.set_linewidth(1)
>> should probably read
>> line.set_markeredgewidth(1)
>> though.
>> 
>> Chris
>> 
>>> Date: Fri, 8 Jul 2011 16:18:52 -0600
>>> From: G?khan Sever <gok...@gm...>
>>> Subject: Re: [matplotlib-devel] Contributed example
>>> To: Nicolas Rougier <Nic...@in...>
>>> Cc: matplotlib development list
>>> <mat...@li...>
>>> Message-ID:
>>> <CAE...@ma...>
>>> Content-Type: text/plain; charset="utf-8"
>>> 
>>> I think this illustration deserves its places amongst the mpl gallery
>>> --probably somewhere towards the very beginning.
>>> 
>>> Thanks for the well documented code Nicolas.
>>> On Fri, Jul 8, 2011 at 2:09 AM, Nicolas Rougier <Nic...@in...>wrote:
>>> 
>>>> 
>>>> 
>>>> Hi,
>>>> 
>>>> 
>>>> I've been playing with matplotlib to check if it can produce graphics like:
>>>> 
>>>> 
>>>> http://www.thebuzzmedia.com/wp-content/uploads/2010/03/anandtech-nvidia-geforce-480-ati-benchmark2.png
>>>> 
>>>> 
>>>> Here is the result:
>>>> http://www.loria.fr/~rougier/tmp/benchmark.png
>>>> 
>>>> and the script (as attachment)
>>>> 
>>>> I do not know if it's worth adding it to examples ?
>>>> 
>>>> 
>>>> 
>>>> Nicolas
>>>> 
>>>> 
>>>> 
>>>> 
>>>> ------------------------------------------------------------------------------
>>>> All of the data generated in your IT infrastructure is seriously valuable.
>>>> Why? It contains a definitive record of application performance, security
>>>> threats, fraudulent activity, and more. Splunk takes this data and makes
>>>> sense of it. IT sense. And common sense.
>>>> http://p.sf.net/sfu/splunk-d2d-c2
>>>> _______________________________________________
>>>> Matplotlib-devel mailing list
>>>> Mat...@li...
>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
>>>> 
>>>> 
>>> 
>>> 
>>> --
>>> G?khan
>>> -------------- next part --------------
>>> An HTML attachment was scrubbed...
>>> 
>>> ------------------------------
>>> 
>>> ------------------------------------------------------------------------------
>>> All of the data generated in your IT infrastructure is seriously valuable.
>>> Why? It contains a definitive record of application performance, security
>>> threats, fraudulent activity, and more. Splunk takes this data and makes
>>> sense of it. IT sense. And common sense.
>>> http://p.sf.net/sfu/splunk-d2d-c2
>>> 
>>> ------------------------------
>>> 
>>> _______________________________________________
>>> Matplotlib-devel mailing list
>>> Mat...@li...
>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
>>> 
>>> 
>>> End of Matplotlib-devel Digest, Vol 62, Issue 3
>>> ***********************************************
> 
> ------------------------------------------------------------------------------
> All of the data generated in your IT infrastructure is seriously valuable.
> Why? It contains a definitive record of application performance, security 
> threats, fraudulent activity, and more. Splunk takes this data and makes 
> sense of it. IT sense. And common sense.
> http://p.sf.net/sfu/splunk-d2d-c2_______________________________________________
> Matplotlib-devel mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-devel