Re: [Matplotlib-users] Access to color cycle?

[Adam H. <hug...@gm...>]

Thanks Andreas.  That is correct; however, I'd rather not make this change
global.  I only want a subset of my plots to have this behavior.  I feel
like changing the rcparams would change this globally and probably confuse
users who don't know this is being called.

I should have realized this before posting, but by putting this into a
function as I've shown above, the foo plot is destroyed, so it doesn't
actually appear in notebooks (which is why I was hesitant to use it in the
first place).  Therefore, reseting the color cycle is not necessary and
this is all that is requried.

def show_colors_default():
    axfoo = plt.subplots()[1]
    c = axfoo._get_lines.color_cycle.next()

    # Iterate until duplicate is found
    while c not in clist:
        clist.append(c)
    return clist

My histogram would merely access this and be done with it.



On Wed, Mar 5, 2014 at 3:07 PM, Andreas Hilboll <li...@hi...> wrote:

> On 05.03.2014 20:56, Adam Hughes wrote:> Hi,
> >
> > I am making a stacked histogram where one must enter the desired colors
> > together in a list/array when the histogram is called.  For certain
> > objects in my code, it's helpful to assign a color to them, so that they
> > are immediately identified across various plots.  Therefore, I
> > essentially want to take the color cycle, swap out a few entries for
> > which colors have been assigned by the user, and otherwise keep the
> > cycle in tact.  For example, if the first object is to be orange, but no
> > other colors are assigned, I want something like:
> >
> > colors= ['orange', default_cycle[1::]]
> >
> > However, according to some threads, the only way to access the color
> > cycle that I'm aware of is through a generator stored in:
> >
> > axes._get_lines.color_cycle()
>
> If I'm not mistaken, you should be able to set the appropriate rcParam,
> i.e.,
>
>    mpl.rcParams['axes.color_cycle'] = ['orange', default_cycle[1::]]
>
> Cheers, Andreas.
>
>
> >
> > I don't like this approach because iterating through the color cycle
> > will cause the next plot to start at a different point in the cycle.
> >  I'm sure I can hack something up that gets around this, but there seems
> > to be a canonical way to just list all of the default colors in a list
> > once and be done with it.  Is this the case?
> >
> > Thanks.
> >
> >
> >
>
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>
>
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