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

[Ilya Flyamer]

I only saw it here
http://matplotlib.org/2.0.0rc2/users/dflt_style_changes.html

2017-01-10 18:04 GMT+00:00 Michael Kaufman <kaufmanmc at ornl.gov>:

> That helps very much actually. Thanks.
>
> Is this documented somewhere? It's not in plot() help.
>
> M
>
> On 1/10/17 1:01 PM, Ilya Flyamer 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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>>
>>
>>
>
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