Untested, of course, but I would do something like this:
import matplotlib.pyplot as plt
import seaborn
N = len(As)
myPallette = seaborn.color_palette("skyblue", N) # use the name of any
mpl colormap here
seaborn.set_color_pallette(myPallette)
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()
On Mon, Feb 17, 2014 at 3:00 PM, Gabriele Brambilla <
gb.gabrielebrambi...@gmail.com> wrote:
> 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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