it works indexing the palette.
thanks
Gabriele
2014-02-18 13:57 GMT-05:00 Paul Hobson <pmhob...@gmail.com>:
> Try specifying the color explicitly from the palette object:
> import numpy as np
> import matplotlib.pyplot as plt
> import pandas
> import seaborn
>
> myPalet1 = seaborn.color_palette("RdPu_r", 10)
> seaborn.set_color_palette(myPalet1)
> x = np.linspace(start=0, stop=5, num=100)
> fig, ax = plt.subplots()
> for n, slope in enumerate(np.linspace(start=0, stop=5, num=10)):
> ax.plot(x, slope*x**2, color=myPalet1[n])
>
>
> On Tue, Feb 18, 2014 at 10:30 AM, Gabriele Brambilla <
> gb.gabrielebrambi...@gmail.com> wrote:
>
>> 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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>>>>>>>>
>>>>>>>>
>>>>>>>> --
>>>>>>>>
>>>>>>>> ***********************************************************************************
>>>>>>>> Chao YUE
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>
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