Hi,
I get right one plot, but this other one works in a strange way:
it restarts to give the darker color to a line. I would like to assign the
colors in the right order so the colorblind guy that works with me could
see the differences like a light growing. (I attach the image) do you
understand where am I doing wrong? (before this piece of code I use other
color palette but I think they have no effect on the following ones)
zipPARApha = zip(Pampli, Pgamma, Pecut, Pb, g)
myPalet1 = sns.color_palette("RdPu_r", 10)
sns.set_color_palette(myPalet1)
lotgr = plt.figure()
axius = lotgr.add_subplot(111)
for n, (a1,b1,c1,d1,pha) in enumerate(zipPARApha):
if n % 18 == 0:
fittedval = spock(logeels, a1, b1, c1, d1)
phaint = int(pha)
angli = str(phaint)
imig = axius.plot(logeels, fittedval, label=angli)
axius.set_title('phase resolved spectra, ' + lightitle)
axius.set_ylim([-100, 1])
axius.legend(bbox_to_anchor=(1.05, 1), loc=9, borderaxespad=0.)
lotgr.canvas.draw()
thanks
Gabriele
2014-02-18 10:47 GMT-05:00 Gabriele Brambilla <
gb.gabrielebrambi...@gmail.com>:
> 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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