it works, thank you.
Using a color palette that changes only the intensity/light of the color
(all blue lines) helps.
Gabriele
2014-02-17 20:57 GMT-05:00 Paul Hobson <pmhob...@gmail.com>:
> 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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