[Matplotlib-users] easily accessing the default color cycle list

[Michael Kaufman]

Sure, but since I'm using a version of mpl that supports 'CN' color 
designations, it ought to at least be in documentation that's accessible 
via help().

M

On 1/10/17 1:10 PM, Benjamin Root wrote:
> This feature will be in the upcoming 2.0 release. It isn't in the 1.5.x
> series.
>
> On Tue, Jan 10, 2017 at 1:01 PM, Ilya Flyamer <flyamer at gmail.com
> <mailto:flyamer at gmail.com>> wrote:
>
>     Hi Michael,
>
>     I think the new colours can be used as 'C0', 'C1', etc, if that helps?
>
>     Ilya
>
>     2017-01-10 17:57 GMT+00:00 Michael Kaufman <kaufmanmc at ornl.gov
>     <mailto:kaufmanmc at ornl.gov>>:
>
>         Hi All,
>
>         With the new color cycle, it's no longer super easy for me to
>         manually set plotting colors (that still conform to the new
>         default colors) without a cheat sheet.
>
>         Recently I've been doing:
>
>         cols = rcParams['axes.prop_cycle'].by_key()['color']
>
>         to get the list. This is something that I cannot remember and
>         have search through old code to find every time.
>
>         Is there an easier way to access this list? Something like:
>
>         from matplotlib.colors import color_cycle
>         cols = color_cycle('default')
>
>         would be quite nice. Maybe something like this already exists?
>
>
>         M
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