Hi, I would like to set the color of the different plots with seaborn but I
don't find examples of this kind on the tutorial.
How could I modify this code? the zip() arguments are lists of the same
dimension.
zipPARA = zip(As, GAMMAs, EcutS, Bees, angles)
lotgr = plt.figure()
axius = lotgr.add_subplot(111)
for a1,b1,c1,d1,angol in zipPARA:
fittedval = spock(logeels, a1, b1, c1, d1)
angli = str(angol)
imig = axius.plot(logeels, fittedval, label=angli)
axius.legend(bbox_to_anchor=(1.05, 1), loc=9, borderaxespad=0.)
lotgr.canvas.draw()
thanks
Gabriele
2014-02-17 14:46 GMT-05:00 Paul Hobson <pmhob...@gmail.com>:
> 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 <hughesada...@gmail.com>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 <chaoyue...@gmail.com> 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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>>>
>>>
>>> --
>>>
>>> ***********************************************************************************
>>> Chao YUE
>>> Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL)
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