Re: [Matplotlib-users] Plotting style

[Marin G. <mrn...@gm...>]

Le 04/03/2015 23:31, Marin GILLES a écrit :

> Le 04/03/2015 22:46, Yuxiang Wang a écrit :
>
>> Hi Marin,
>>
>> +1 for the idea of specific papers. For example, all PLOS require the
>> same figure format and I have my own config file. I'd be more than
>> happy to dig into it and try my best to contribute.
>>
>> Shawn
>>
>> On Wed, Mar 4, 2015 at 4:27 PM, Marin GILLES<mrn...@gm...>  wrote:
>>> Le 04/03/2015 06:21, Tony Yu a écrit :
>>>
>>> On Tue, Mar 3, 2015 at 11:50 AM, Gökhan Sever<gok...@gm...>  wrote:
>>>> I see seaborn has "paper, notebook, talk, and poster" options.
>>>> http://stanford.edu/~mwaskom/software/seaborn-dev/aesthetics.html
>>>> Apperantly he scales each parameter to get modified views. This would be a
>>>> good addition for any of the styles available in matplotlib.
>>> A similar pattern with `matplotlib.style` would use chained stylesheets. The
>>> idea would be to make stylesheets either aesthetics focused or layout
>>> focused. By aesthetics, I mean things like colors and marker shape, and by
>>> layout, I mean things like default figure size, figure padding, font size,
>>> etc. Then you can easily have a style that defines the general aesthetics
>>> and easily modify it for papers, talks, etc.
>>>
>>> Here's an example from `mpltools`, but the same syntax applies to the
>>> `style` module in `matplotlib`:
>>>
>>> http://tonysyu.github.io/mpltools/auto_examples/style/plot_multiple_styles.html
>>>
>>> (PoF = Physics of Fluids journal; IIRC I think I have some personal
>>> stylesheets that take the normal two-column figure layout and convert it to
>>> a full-page layout.)
>>>
>>> -Tony
>>>
>>>> On Tue, Mar 3, 2015 at 12:35 PM, Marin GILLES<mrn...@gm...>  wrote:
>>>>> Le 03/03/2015 18:15, Gökhan Sever a écrit :
>>>>>
>>>>>
>>>>>
>>>>> On Tue, Mar 3, 2015 at 12:07 PM, Marin GILLES<mrn...@gm...>
>>>>> wrote:
>>>>>> Sure, I'll be careful about that.
>>>>>> I'm going to go try and design some new interesting ones.
>>>>>> Maybe adding some styles specific to some plot types could be useful.
>>>>>> Also some styles specific for some applications (geoscience, biology)?
>>>>>> If you have any other ideas, please let me know.
>>>>>>
>>>>>> --
>>>>>> Marin GILLES
>>>>> It would be good to have styles for "paper" and "presentation" modes. The
>>>>> former would have smaller ticks, labels, linewidths, other axis elements
>>>>> that goes into a journal publication, while the latter with much magnified
>>>>> elements to be clearly visible on a screen from the back of a room.
>>>>>
>>>>> Indeed it would be a very good idea.
>>>>> I've seen that already in the seaborn lib I guess.
>>>>>
>>>>> --
>>>>> Marin GILLES
>>>>> PhD student CNRS
>>>>> Laboratoire Interdisciplinaire Carnot de Bourgogne (ICB)
>>>>> UMR 6303 CNRS - Université de Bourgogne
>>>>> 9 av Alain Savary, BP 47870
>>>>> 21078, Dijon (France)
>>>>> ☎ (+33)6.79.35.30.11
>>>>> ✉mar...@u-...
>>>> --
>>>> Gökhan
>>>>
>>>>
>>>> ------------------------------------------------------------------------------
>>>> Dive into the World of Parallel Programming The Go Parallel Website,
>>>> sponsored
>>>> by Intel and developed in partnership with Slashdot Media, is your hub for
>>>> all
>>>> things parallel software development, from weekly thought leadership blogs
>>>> to
>>>> news, videos, case studies, tutorials and more. Take a look and join the
>>>> conversation now.http://goparallel.sourceforge.net/
>>>> _______________________________________________
>>>> Matplotlib-users mailing list
>>>> Mat...@li...
>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>
>>> Hi,
>>>
>>> I started working on styles based on which support the figure is designed
>>> for (as of now, I've got 'paper', 'notebook', 'talk', 'poster').
>>>
>>> For those, in a style point of view, I think only the text size should be
>>> modified (got it done, just need to get the proper sizes for each style),
>>> which is unlike the 'seaborn' way of doing it. Thing is, by doing so, we
>>> don't mess with any style we could apply using Cascading styles.
>>>
>>> Also, I was thinking that I should set the export settings for each of those
>>> styles, but also get an export style folder (with a few good parameters).
>>> This would mean no more need to adjust dpi, file format, figure size...
>>>
>>> Finally, I could add a folder for specific papers, in which the figure
>>> parameters would be tweaked so that we can directly be in a specific paper
>>> format. I guess it would take into account both text size and export
>>> parameters for each paper.
>>>
>>> Let me know what you think about it.
>>>
>>> Marin Gilles
>>>
>>> ------------------------------------------------------------------------------
>>> Dive into the World of Parallel Programming The Go Parallel Website,
>>> sponsored
>>> by Intel and developed in partnership with Slashdot Media, is your hub for
>>> all
>>> things parallel software development, from weekly thought leadership blogs
>>> to
>>> news, videos, case studies, tutorials and more. Take a look and join the
>>> conversation now.http://goparallel.sourceforge.net/
>>> _______________________________________________
>>> Matplotlib-users mailing list
>>> Mat...@li...
>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>
> That would indeed would be nice, and get us started.
> I created a repository 
> <https://github.com/mrngilles/matplotlib-styles>, if anyone wants to 
> contribute. Don’t hesitate to bring in some new ideas.
>
> Marin Gilles
>
> ​

Hello everyone,
After working a bit on the styles, I noticed that some parameters could 
not be modified using an rc or style file (for example, turning off the 
right, left, up or down axis). I kind of saw how to do it using the 
|Axis.spine.set_visible()| method, but it would be better to be able to 
change it in the rc.
So I was wondering if there would be a way to add rcParameters using a 
method with an external file, or if I would have to change this in the 
mpl source?
Maybe a method that would add rcParameters on demand…
Thanks

​
-- 
*Marin GILLES*
/PhD student CNRS
/ /Laboratoire Interdisciplinaire Carnot de Bourgogne (ICB)
UMR 6303 CNRS - Université de Bourgogne
9 av Alain Savary, BP 47870
21078, Dijon (France)
/ ☎ (+33)6.79.35.30.11
✉ mar...@u-... <mailto:mar...@u-...>