matplotlib-users Mailing List for matplotlib

Hello,
I am trying to color-highlight parts of a figure title. I got it to work 
via the second ('non-interactive') solution given here 
<http://stackoverflow.com/questions/9169052/partial-coloring-of-text-in-matplotlib>, 
using TeX's \textcolor. It has the advantage (over the first solution) 
that you can use .xlabel(), .title() etc. as usual.
However the limitation stated is that it only works when saving the plot 
as a PostScript file. I'm finding this to be true: the coloring does not 
appear when plotting to the screen rather than to a file (as with 
.show()), nor when using matplotlib.use('SVG') or matplotlib.use('AGG') 
to get svg or png output (which I would prefer). This is so even though 
other 'fancy' TeX commands like \mathcal do seem to work in all output 
options.
I am only minimally acquainted with (La)TeX, and fairly new to Python 
and matplotlib too, so I don't quite grasp what is going on here, and 
whether it is worth digging deeper to try and make it work. So: why is 
there a difference in success between using (e.g.) \mathcal versus 
\textcolor over different output options?
Many thanks!
||

As I'm researching what we may want to do for better continuous 
integration, I'm remembering that at least one person, Thomas Kluyver, 
is producing daily automated builds (for Ubuntu) here:
https://launchpad.net/~takluyver/+archive/matplotlib-daily 
<https://launchpad.net/%7Etakluyver/+archive/matplotlib-daily>
Is anyone else out there doing anything similar for other Linux distros 
or other platforms? a) I'd like to list these things on the main 
website, and b) I'd like to look at how these kinds of things might make 
sense as part of a broader CI strategy.
Cheers,
Mike

On Tue, Aug 13, 2013 at 04:43:19PM +1000, Stephen Gibson wrote:
> Call 'figure()' for each plot.
Like this you mean?
import matplotlib.pyplot as plt
a=plt.figure()
a=plt.plot([1, 2], [1, 2])
plt.savefig('1.png', dpi=100)
a=plt.figure()
a=plt.plot([1, 2], [2,1])
plt.savefig('2.png', dpi=100)
Thank you!

On 2013年08月12日 8:35 PM, vwf wrote:
> Thank you for you reply. I tried to create one after the other but when
> I did this my second plot was on top of the first one. The old plot
> needs to be "flushed" before starting the second one.
>
> This doesn't work:
> import matplotlib.pyplot as plt
> a=plt.plot([1, 2], [1, 2])
> plt.savefig('1.png', dpi=100)
plt.close()
> b=plt.plot([1, 2], [2,1])
> plt.savefig('2.png', dpi=100)
>
> In 2.png, a and b are on top of each other
>

Call 'figure()' for each plot.
see: http://matplotlib.org/api/pyplot_api.html
matplotlib.pyplot.figure(/num=None/, /figsize=None/, /dpi=None/, 
/facecolor=None/, /edgecolor=None/, /frameon=True/, /FigureClass=<class 
'matplotlib.figure.Figure'>/, /**kwargs/)
 Creates a new figure.
 Parameters : 	
 *num* : integer or string, optional, default: none
 If not provided, a new figure will be created, and a the figure
 number will be increamted. The figure objects holds this number
 in a number attribute. If num is provided, and a figure with
 this id already exists, make it active, and returns a reference
 to it. If this figure does not exists, create it and returns it.
 If num is a string, the window title will be set to this
 figure's num.
Steve.

Thank you for you reply. I tried to create one after the other but when
I did this my second plot was on top of the first one. The old plot
needs to be "flushed" before starting the second one.
This doesn't work:
import matplotlib.pyplot as plt
a=plt.plot([1, 2], [1, 2])
plt.savefig('1.png', dpi=100)
b=plt.plot([1, 2], [2,1])
plt.savefig('2.png', dpi=100)
In 2.png, a and b are on top of each other
On Tue, Aug 13, 2013 at 12:10:32AM -0600, Joseph Hardin wrote:
> Can you provide us with more information? You can create one plot, save it,
> and then create the second, or is there something more specific you are
> looking for?
> 
> 
> On Mon, Aug 12, 2013 at 11:58 PM, vwf <vw...@vu...> wrote:
> 
> > Hello,
> >
> > I need to create two plots (png files) in one go, two unrelated views of
> > the same dataset. There is good documentation about subplots but I
> > cannot locate documentation about two plots. Can someone tell me how it
> > is done?
> >
> >
> > ------------------------------------------------------------------------------
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> >
> 
> 
> 
> -- 
> Joseph Hardin, MSEE
> Colorado State University
> Radar and Communications Laboratory
> One must do not violence to nature, nor model it in conformity to any
> blindly formed chimaera.
> -Janos Boylai

Can you provide us with more information? You can create one plot, save it,
and then create the second, or is there something more specific you are
looking for?
On Mon, Aug 12, 2013 at 11:58 PM, vwf <vw...@vu...> wrote:
> Hello,
>
> I need to create two plots (png files) in one go, two unrelated views of
> the same dataset. There is good documentation about subplots but I
> cannot locate documentation about two plots. Can someone tell me how it
> is done?
>
>
> ------------------------------------------------------------------------------
> Get 100% visibility into Java/.NET code with AppDynamics Lite!
> It's a free troubleshooting tool designed for production.
> Get down to code-level detail for bottlenecks, with <2% overhead.
> Download for free and get started troubleshooting in minutes.
> http://pubads.g.doubleclick.net/gampad/clk?id=48897031&iu=/4140/ostg.clktrk
> _______________________________________________
> Matplotlib-users mailing list
> Mat...@li...
> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>
-- 
Joseph Hardin, MSEE
Colorado State University
Radar and Communications Laboratory
One must do not violence to nature, nor model it in conformity to any
blindly formed chimaera.
-Janos Boylai

Hello,
I need to create two plots (png files) in one go, two unrelated views of
the same dataset. There is good documentation about subplots but I
cannot locate documentation about two plots. Can someone tell me how it
is done?