Re: [Matplotlib-users] colorbllind problem

[Paul H. <pmh...@gm...>]

Adam,

Look into the seaborn project:
http://nbviewer.ipython.org/github/mwaskom/seaborn/blob/master/examples/aesthetics.ipynb

it's easy enough to define your own color palettes or select existing ones.
-paul


On Mon, Feb 17, 2014 at 11:41 AM, Adam Hughes <hug...@gm...>wrote:

> I'm wondering if the matplotlib API is designed in such a way that
> choosing a color schema could be done at import time.  I know that the
> entire plot style can be changed in one call (eg put plt.xkcd() at the
> beginning of your code), so I wander if colorblind-compatible colors could
> be loaded in a similar, quick way.
>
>
> On Mon, Feb 17, 2014 at 1:52 PM, ChaoYue <cha...@gm...> wrote:
>
>> Hi Gabriele,
>>
>> I'm afraid you have to put the numbers by yourself using the plt.text, as
>> in an example:
>> a = np.arange(10)
>> b = np.tile(a,(10,1))
>> c = np.tile(a[:,np.newaxis],(10)) + b
>> plot(c)
>> for i in range(10):
>>     plt.text(5,c[i][5],str(i))
>>
>>
>> I've askd by a review to use the colorblind compatible colors when trying
>> to submit a paper,
>> and I find a website below:
>> http://jfly.iam.u-tokyo.ac.jp/color/
>>
>> I put some RGB numbers for some colors here if you feel like to have a
>> try:
>> CCC =
>> {
>>
>> 'Black':np.array([0,0,0])/255.,
>>
>> 'Orange':np.array([230,159,0])/255.,
>>
>> 'Skyblue':np.array([85,180,233])/255.,
>>
>> 'BluishGreen':np.array([0,158,115])/255.,
>>
>> 'Yellow':np.array([240,228,66])/255.,
>>
>> 'Blue':np.array([0,114,178])/255.,
>>
>> 'Vermilion':np.array([213,94,0])/255.,
>>
>> 'ReddishPurple':np.array([204,121,167])/255.
>>        }
>>
>> Cheers,
>>
>> Chao
>>
>>
>>
>> On Mon, Feb 17, 2014 at 7:17 PM, Gabriele Brambilla [via matplotlib] <[hidden
>> email] <http://user/SendEmail.jtp?type=node&node=42886&i=0>> wrote:
>>
>>> Hi,
>>> I'm dealing with a guy that is colorblind.
>>> Have you got any suggestion on how could I show a plot like the one
>>> attached to him?
>>> Is there an option in pyplot that write little numbers near the curves
>>> instead of colors?
>>>
>>> thanks
>>>
>>> Gabriele
>>>
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>>
>> --
>>
>> ***********************************************************************************
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