Hello Friedrich,
I tried your second solution:
figure = matplotlib.figure.Figure()
... do plotting ...
... save as colour ...
figure.set_gray(True)
... save as b/w ...
but it gives me an error message:
fig.set_gray(True)
AttributeError: 'Figure' object has no attribute 'set_gray'
I got the same error message when trying in in pylab as:
fig1=gcf()
fig1.set_gray(True)
and when generating the figure with the command
fig1 = matplotlib.figure.Figure()
I am using matplotlib 0.99.1.1 on ubuntu 10.04/
Is there another way to do it?
Thanks,
Eli
On Mon, Sep 20, 2010 at 11:14 AM, Friedrich Romstedt <
friedrichromst...@gmail.com> wrote:
> 2010/9/20 Eli Brosh <ebro...@gmail.com>:
> > Hello,
> > I need to prepare two versions of figures: color and BW(Black&White).
> > Is there an easy way to produce just the colored version and than use
> some
> > command or script to turn it to BW or grayscale?
> > I thought that converting from color to BW really means: "in all object
> in
> > the figure, turn any color that is not white to black".
> > Is there an easy way to implement this?
>
> http://github.com/friedrichromstedt/matplotlib
>
> I implemented a RC setting 'gray'. Turn it on by setting either
> matplotlib.rcParams['gray'] = True or by setting it in your
> matplotlibrc file.
>
> You can also gray out any artist (e.g., the figure), by calling
> artist.set_gray(True).
>
> figure = matplotlib.figure.Figure()
> ... do plotting ...
> ... save as colour ...
> figure.set_gray(True)
> ... save as b/w ...
>
> If you're using pyplot or pylab, I'm not sure, but I think there is a
> function gcf() which gives you the current figure object so that you
> can turn gray on there. pylab support should be placed on the TODO
> list, I would appreciate feedback on the preferred pylab way, since
> I'm not a pylab user at all. I think a pylab function gray(boolean)
> would do it.
>
> It's beta, so try it out. It's tested, though.
>
> Friedrich
>
------------------------------------------------------------------------------
Start uncovering the many advantages of virtual appliances
and start using them to simplify application deployment and
accelerate your shift to cloud computing.
http://p.sf.net/sfu/novell-sfdev2dev
_______________________________________________
Matplotlib-users mailing list
Matplotlib-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/matplotlib-users
