Le 04/03/2015 06:21, Tony Yu a écrit :
On Tue, Mar 3, 2015 at 11:50 AM, Gökhan Sever <gokhanse...@gmail.com
<mailto:gokhanse...@gmail.com>> wrote:
I see seaborn has "paper, notebook, talk, and poster" options.
http://stanford.edu/~mwaskom/software/seaborn-dev/aesthetics.html
<http://stanford.edu/%7Emwaskom/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 <mrngil...@gmail.com
<mailto:mrngil...@gmail.com>> wrote:
Le 03/03/2015 18:15, Gökhan Sever a écrit :
On Tue, Mar 3, 2015 at 12:07 PM, Marin GILLES
<mrngil...@gmail.com <mailto:mrngil...@gmail.com>> 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 <tel:%28%2B33%296.79.35.30.11>
✉ marin.gil...@u-bourgogne.fr <mailto:marin.gil...@u-bourgogne.fr>
--
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
Matplotlib-users@lists.sourceforge.net
<mailto:Matplotlib-users@lists.sourceforge.net>
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
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
