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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