matplotlib-users Mailing List for matplotlib

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....@gm...> 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....@gm...>:
>
> 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 <pmh...@gm...>:
>>
>> 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....@gm...> 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 <pmh...@gm...>:
>>>>
>>>> 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 <hug...@gm...>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 <cha...@gm...>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
>>>>>>>>
>>>>>>>> ------------------------------------------------------------------------------
>>>>>>>>
>>>>>>>> Managing the Performance of Cloud-Based Applications
>>>>>>>> Take advantage of what the Cloud has to offer - Avoid Common
>>>>>>>> Pitfalls.
>>>>>>>> Read the Whitepaper.
>>>>>>>>
>>>>>>>> http://pubads.g.doubleclick.net/gampad/clk?id=121054471&iu=/4140/ostg.clktrk
>>>>>>>> _______________________________________________
>>>>>>>> Matplotlib-users mailing list
>>>>>>>> [hidden email] <http://user/SendEmail.jtp?type=node&node=42884&i=0>
>>>>>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>>>>>
>>>>>>>> *daltonic.png* (181K) Download Attachment<http://matplotlib.1069221.n5.nabble.com/attachment/42884/0/daltonic.png>
>>>>>>>>
>>>>>>>>
>>>>>>>> ------------------------------
>>>>>>>>  If you reply to this email, your message will be added to the
>>>>>>>> discussion below:
>>>>>>>>
>>>>>>>> http://matplotlib.1069221.n5.nabble.com/colorbllind-problem-tp42884.html
>>>>>>>>  To start a new topic under matplotlib - users, email [hidden
>>>>>>>> email] <http://user/SendEmail.jtp?type=node&node=42886&i=1>
>>>>>>>> To unsubscribe from matplotlib, click here.
>>>>>>>> NAML<http://matplotlib.1069221.n5.nabble.com/template/NamlServlet.jtp?macro=macro_viewer&id=instant_html%21nabble%3Aemail.naml&base=nabble.naml.namespaces.BasicNamespace-nabble.view.web.template.NabbleNamespace-nabble.view.web.template.NodeNamespace&breadcrumbs=notify_subscribers%21nabble%3Aemail.naml-instant_emails%21nabble%3Aemail.naml-send_instant_email%21nabble%3Aemail.naml>
>>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> --
>>>>>>>
>>>>>>> ***********************************************************************************
>>>>>>> Chao YUE
>>>>>>> Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL)
>>>>>>> UMR 1572 CEA-CNRS-UVSQ
>>>>>>> Batiment 712 - Pe 119
>>>>>>> 91191 GIF Sur YVETTE Cedex
>>>>>>> Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16
>>>>>>>
>>>>>>> ************************************************************************************
>>>>>>>
>>>>>>> ------------------------------
>>>>>>> View this message in context: Re: colorbllind problem<http://matplotlib.1069221.n5.nabble.com/colorbllind-problem-tp42884p42886.html>
>>>>>>> Sent from the matplotlib - users mailing list archive<http://matplotlib.1069221.n5.nabble.com/matplotlib-users-f3.html>at Nabble.com.
>>>>>>>
>>>>>>>
>>>>>>> ------------------------------------------------------------------------------
>>>>>>> Managing the Performance of Cloud-Based Applications
>>>>>>> Take advantage of what the Cloud has to offer - Avoid Common
>>>>>>> Pitfalls.
>>>>>>> Read the Whitepaper.
>>>>>>>
>>>>>>> http://pubads.g.doubleclick.net/gampad/clk?id=121054471&iu=/4140/ostg.clktrk
>>>>>>> _______________________________________________
>>>>>>> Matplotlib-users mailing list
>>>>>>> Mat...@li...
>>>>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>>>>
>>>>>>>
>>>>>>
>>>>>>
>>>>>> ------------------------------------------------------------------------------
>>>>>> Managing the Performance of Cloud-Based Applications
>>>>>> Take advantage of what the Cloud has to offer - Avoid Common Pitfalls.
>>>>>> Read the Whitepaper.
>>>>>>
>>>>>> http://pubads.g.doubleclick.net/gampad/clk?id=121054471&iu=/4140/ostg.clktrk
>>>>>> _______________________________________________
>>>>>> Matplotlib-users mailing list
>>>>>> Mat...@li...
>>>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>>>
>>>>>>
>>>>>
>>>>>
>>>>> ------------------------------------------------------------------------------
>>>>> Managing the Performance of Cloud-Based Applications
>>>>> Take advantage of what the Cloud has to offer - Avoid Common Pitfalls.
>>>>> Read the Whitepaper.
>>>>>
>>>>> http://pubads.g.doubleclick.net/gampad/clk?id=121054471&iu=/4140/ostg.clktrk
>>>>> _______________________________________________
>>>>> Matplotlib-users mailing list
>>>>> Mat...@li...
>>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>>
>>>>>
>>>>
>>>
>>
>

and the image is this.
you could see it gave colors not in the right order.


2014-02-18 13:30 GMT-05:00 Gabriele Brambilla <
gb....@gm...>:

> 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....@gm...>:
>
> 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 <pmh...@gm...>:
>>
>> 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....@gm...> 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 <pmh...@gm...>:
>>>>
>>>> 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 <hug...@gm...>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 <cha...@gm...>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
>>>>>>>>
>>>>>>>> ------------------------------------------------------------------------------
>>>>>>>>
>>>>>>>> Managing the Performance of Cloud-Based Applications
>>>>>>>> Take advantage of what the Cloud has to offer - Avoid Common
>>>>>>>> Pitfalls.
>>>>>>>> Read the Whitepaper.
>>>>>>>>
>>>>>>>> http://pubads.g.doubleclick.net/gampad/clk?id=121054471&iu=/4140/ostg.clktrk
>>>>>>>> _______________________________________________
>>>>>>>> Matplotlib-users mailing list
>>>>>>>> [hidden email] <http://user/SendEmail.jtp?type=node&node=42884&i=0>
>>>>>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>>>>>
>>>>>>>> *daltonic.png* (181K) Download Attachment<http://matplotlib.1069221.n5.nabble.com/attachment/42884/0/daltonic.png>
>>>>>>>>
>>>>>>>>
>>>>>>>> ------------------------------
>>>>>>>>  If you reply to this email, your message will be added to the
>>>>>>>> discussion below:
>>>>>>>>
>>>>>>>> http://matplotlib.1069221.n5.nabble.com/colorbllind-problem-tp42884.html
>>>>>>>>  To start a new topic under matplotlib - users, email [hidden
>>>>>>>> email] <http://user/SendEmail.jtp?type=node&node=42886&i=1>
>>>>>>>> To unsubscribe from matplotlib, click here.
>>>>>>>> NAML<http://matplotlib.1069221.n5.nabble.com/template/NamlServlet.jtp?macro=macro_viewer&id=instant_html%21nabble%3Aemail.naml&base=nabble.naml.namespaces.BasicNamespace-nabble.view.web.template.NabbleNamespace-nabble.view.web.template.NodeNamespace&breadcrumbs=notify_subscribers%21nabble%3Aemail.naml-instant_emails%21nabble%3Aemail.naml-send_instant_email%21nabble%3Aemail.naml>
>>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>>
>>>>>>> --
>>>>>>>
>>>>>>> ***********************************************************************************
>>>>>>> Chao YUE
>>>>>>> Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL)
>>>>>>> UMR 1572 CEA-CNRS-UVSQ
>>>>>>> Batiment 712 - Pe 119
>>>>>>> 91191 GIF Sur YVETTE Cedex
>>>>>>> Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16
>>>>>>>
>>>>>>> ************************************************************************************
>>>>>>>
>>>>>>> ------------------------------
>>>>>>> View this message in context: Re: colorbllind problem<http://matplotlib.1069221.n5.nabble.com/colorbllind-problem-tp42884p42886.html>
>>>>>>> Sent from the matplotlib - users mailing list archive<http://matplotlib.1069221.n5.nabble.com/matplotlib-users-f3.html>at Nabble.com.
>>>>>>>
>>>>>>>
>>>>>>> ------------------------------------------------------------------------------
>>>>>>> Managing the Performance of Cloud-Based Applications
>>>>>>> Take advantage of what the Cloud has to offer - Avoid Common
>>>>>>> Pitfalls.
>>>>>>> Read the Whitepaper.
>>>>>>>
>>>>>>> http://pubads.g.doubleclick.net/gampad/clk?id=121054471&iu=/4140/ostg.clktrk
>>>>>>> _______________________________________________
>>>>>>> Matplotlib-users mailing list
>>>>>>> Mat...@li...
>>>>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>>>>
>>>>>>>
>>>>>>
>>>>>>
>>>>>> ------------------------------------------------------------------------------
>>>>>> Managing the Performance of Cloud-Based Applications
>>>>>> Take advantage of what the Cloud has to offer - Avoid Common Pitfalls.
>>>>>> Read the Whitepaper.
>>>>>>
>>>>>> http://pubads.g.doubleclick.net/gampad/clk?id=121054471&iu=/4140/ostg.clktrk
>>>>>> _______________________________________________
>>>>>> Matplotlib-users mailing list
>>>>>> Mat...@li...
>>>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>>>
>>>>>>
>>>>>
>>>>>
>>>>> ------------------------------------------------------------------------------
>>>>> Managing the Performance of Cloud-Based Applications
>>>>> Take advantage of what the Cloud has to offer - Avoid Common Pitfalls.
>>>>> Read the Whitepaper.
>>>>>
>>>>> http://pubads.g.doubleclick.net/gampad/clk?id=121054471&iu=/4140/ostg.clktrk
>>>>> _______________________________________________
>>>>> Matplotlib-users mailing list
>>>>> Mat...@li...
>>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>>
>>>>>
>>>>
>>>
>>
>

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....@gm...>:

> 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 <pmh...@gm...>:
>
> 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....@gm...> 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 <pmh...@gm...>:
>>>
>>> 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 <hug...@gm...>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 <cha...@gm...> 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
>>>>>>>
>>>>>>> ------------------------------------------------------------------------------
>>>>>>>
>>>>>>> Managing the Performance of Cloud-Based Applications
>>>>>>> Take advantage of what the Cloud has to offer - Avoid Common
>>>>>>> Pitfalls.
>>>>>>> Read the Whitepaper.
>>>>>>>
>>>>>>> http://pubads.g.doubleclick.net/gampad/clk?id=121054471&iu=/4140/ostg.clktrk
>>>>>>> _______________________________________________
>>>>>>> Matplotlib-users mailing list
>>>>>>> [hidden email] <http://user/SendEmail.jtp?type=node&node=42884&i=0>
>>>>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>>>>
>>>>>>> *daltonic.png* (181K) Download Attachment<http://matplotlib.1069221.n5.nabble.com/attachment/42884/0/daltonic.png>
>>>>>>>
>>>>>>>
>>>>>>> ------------------------------
>>>>>>>  If you reply to this email, your message will be added to the
>>>>>>> discussion below:
>>>>>>>
>>>>>>> http://matplotlib.1069221.n5.nabble.com/colorbllind-problem-tp42884.html
>>>>>>>  To start a new topic under matplotlib - users, email [hidden email]<http://user/SendEmail.jtp?type=node&node=42886&i=1>
>>>>>>> To unsubscribe from matplotlib, click here.
>>>>>>> NAML<http://matplotlib.1069221.n5.nabble.com/template/NamlServlet.jtp?macro=macro_viewer&id=instant_html%21nabble%3Aemail.naml&base=nabble.naml.namespaces.BasicNamespace-nabble.view.web.template.NabbleNamespace-nabble.view.web.template.NodeNamespace&breadcrumbs=notify_subscribers%21nabble%3Aemail.naml-instant_emails%21nabble%3Aemail.naml-send_instant_email%21nabble%3Aemail.naml>
>>>>>>>
>>>>>>
>>>>>>
>>>>>>
>>>>>> --
>>>>>>
>>>>>> ***********************************************************************************
>>>>>> Chao YUE
>>>>>> Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL)
>>>>>> UMR 1572 CEA-CNRS-UVSQ
>>>>>> Batiment 712 - Pe 119
>>>>>> 91191 GIF Sur YVETTE Cedex
>>>>>> Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16
>>>>>>
>>>>>> ************************************************************************************
>>>>>>
>>>>>> ------------------------------
>>>>>> View this message in context: Re: colorbllind problem<http://matplotlib.1069221.n5.nabble.com/colorbllind-problem-tp42884p42886.html>
>>>>>> Sent from the matplotlib - users mailing list archive<http://matplotlib.1069221.n5.nabble.com/matplotlib-users-f3.html>at Nabble.com.
>>>>>>
>>>>>>
>>>>>> ------------------------------------------------------------------------------
>>>>>> Managing the Performance of Cloud-Based Applications
>>>>>> Take advantage of what the Cloud has to offer - Avoid Common Pitfalls.
>>>>>> Read the Whitepaper.
>>>>>>
>>>>>> http://pubads.g.doubleclick.net/gampad/clk?id=121054471&iu=/4140/ostg.clktrk
>>>>>> _______________________________________________
>>>>>> Matplotlib-users mailing list
>>>>>> Mat...@li...
>>>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>>>
>>>>>>
>>>>>
>>>>>
>>>>> ------------------------------------------------------------------------------
>>>>> Managing the Performance of Cloud-Based Applications
>>>>> Take advantage of what the Cloud has to offer - Avoid Common Pitfalls.
>>>>> Read the Whitepaper.
>>>>>
>>>>> http://pubads.g.doubleclick.net/gampad/clk?id=121054471&iu=/4140/ostg.clktrk
>>>>> _______________________________________________
>>>>> Matplotlib-users mailing list
>>>>> Mat...@li...
>>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>>
>>>>>
>>>>
>>>>
>>>> ------------------------------------------------------------------------------
>>>> Managing the Performance of Cloud-Based Applications
>>>> Take advantage of what the Cloud has to offer - Avoid Common Pitfalls.
>>>> Read the Whitepaper.
>>>>
>>>> http://pubads.g.doubleclick.net/gampad/clk?id=121054471&iu=/4140/ostg.clktrk
>>>> _______________________________________________
>>>> Matplotlib-users mailing list
>>>> Mat...@li...
>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>
>>>>
>>>
>>
>

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 <pmh...@gm...>:

> 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....@gm...> 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 <pmh...@gm...>:
>>
>> 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 <hug...@gm...>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 <cha...@gm...> 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
>>>>>>
>>>>>> ------------------------------------------------------------------------------
>>>>>>
>>>>>> Managing the Performance of Cloud-Based Applications
>>>>>> Take advantage of what the Cloud has to offer - Avoid Common
>>>>>> Pitfalls.
>>>>>> Read the Whitepaper.
>>>>>>
>>>>>> http://pubads.g.doubleclick.net/gampad/clk?id=121054471&iu=/4140/ostg.clktrk
>>>>>> _______________________________________________
>>>>>> Matplotlib-users mailing list
>>>>>> [hidden email] <http://user/SendEmail.jtp?type=node&node=42884&i=0>
>>>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>>>
>>>>>> *daltonic.png* (181K) Download Attachment<http://matplotlib.1069221.n5.nabble.com/attachment/42884/0/daltonic.png>
>>>>>>
>>>>>>
>>>>>> ------------------------------
>>>>>>  If you reply to this email, your message will be added to the
>>>>>> discussion below:
>>>>>>
>>>>>> http://matplotlib.1069221.n5.nabble.com/colorbllind-problem-tp42884.html
>>>>>>  To start a new topic under matplotlib - users, email [hidden email]<http://user/SendEmail.jtp?type=node&node=42886&i=1>
>>>>>> To unsubscribe from matplotlib, click here.
>>>>>> NAML<http://matplotlib.1069221.n5.nabble.com/template/NamlServlet.jtp?macro=macro_viewer&id=instant_html%21nabble%3Aemail.naml&base=nabble.naml.namespaces.BasicNamespace-nabble.view.web.template.NabbleNamespace-nabble.view.web.template.NodeNamespace&breadcrumbs=notify_subscribers%21nabble%3Aemail.naml-instant_emails%21nabble%3Aemail.naml-send_instant_email%21nabble%3Aemail.naml>
>>>>>>
>>>>>
>>>>>
>>>>>
>>>>> --
>>>>>
>>>>> ***********************************************************************************
>>>>> Chao YUE
>>>>> Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL)
>>>>> UMR 1572 CEA-CNRS-UVSQ
>>>>> Batiment 712 - Pe 119
>>>>> 91191 GIF Sur YVETTE Cedex
>>>>> Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16
>>>>>
>>>>> ************************************************************************************
>>>>>
>>>>> ------------------------------
>>>>> View this message in context: Re: colorbllind problem<http://matplotlib.1069221.n5.nabble.com/colorbllind-problem-tp42884p42886.html>
>>>>> Sent from the matplotlib - users mailing list archive<http://matplotlib.1069221.n5.nabble.com/matplotlib-users-f3.html>at Nabble.com.
>>>>>
>>>>>
>>>>> ------------------------------------------------------------------------------
>>>>> Managing the Performance of Cloud-Based Applications
>>>>> Take advantage of what the Cloud has to offer - Avoid Common Pitfalls.
>>>>> Read the Whitepaper.
>>>>>
>>>>> http://pubads.g.doubleclick.net/gampad/clk?id=121054471&iu=/4140/ostg.clktrk
>>>>> _______________________________________________
>>>>> Matplotlib-users mailing list
>>>>> Mat...@li...
>>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>>
>>>>>
>>>>
>>>>
>>>> ------------------------------------------------------------------------------
>>>> Managing the Performance of Cloud-Based Applications
>>>> Take advantage of what the Cloud has to offer - Avoid Common Pitfalls.
>>>> Read the Whitepaper.
>>>>
>>>> http://pubads.g.doubleclick.net/gampad/clk?id=121054471&iu=/4140/ostg.clktrk
>>>> _______________________________________________
>>>> Matplotlib-users mailing list
>>>> Mat...@li...
>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>
>>>>
>>>
>>>
>>> ------------------------------------------------------------------------------
>>> Managing the Performance of Cloud-Based Applications
>>> Take advantage of what the Cloud has to offer - Avoid Common Pitfalls.
>>> Read the Whitepaper.
>>>
>>> http://pubads.g.doubleclick.net/gampad/clk?id=121054471&iu=/4140/ostg.clktrk
>>> _______________________________________________
>>> Matplotlib-users mailing list
>>> Mat...@li...
>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>
>>>
>>
>

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....@gm...> 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 <pmh...@gm...>:
>
> 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 <hug...@gm...>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 <cha...@gm...> 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
>>>>>
>>>>> ------------------------------------------------------------------------------
>>>>>
>>>>> Managing the Performance of Cloud-Based Applications
>>>>> Take advantage of what the Cloud has to offer - Avoid Common Pitfalls.
>>>>> Read the Whitepaper.
>>>>>
>>>>> http://pubads.g.doubleclick.net/gampad/clk?id=121054471&iu=/4140/ostg.clktrk
>>>>> _______________________________________________
>>>>> Matplotlib-users mailing list
>>>>> [hidden email] <http://user/SendEmail.jtp?type=node&node=42884&i=0>
>>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>>
>>>>> *daltonic.png* (181K) Download Attachment<http://matplotlib.1069221.n5.nabble.com/attachment/42884/0/daltonic.png>
>>>>>
>>>>>
>>>>> ------------------------------
>>>>>  If you reply to this email, your message will be added to the
>>>>> discussion below:
>>>>>
>>>>> http://matplotlib.1069221.n5.nabble.com/colorbllind-problem-tp42884.html
>>>>>  To start a new topic under matplotlib - users, email [hidden email]<http://user/SendEmail.jtp?type=node&node=42886&i=1>
>>>>> To unsubscribe from matplotlib, click here.
>>>>> NAML<http://matplotlib.1069221.n5.nabble.com/template/NamlServlet.jtp?macro=macro_viewer&id=instant_html%21nabble%3Aemail.naml&base=nabble.naml.namespaces.BasicNamespace-nabble.view.web.template.NabbleNamespace-nabble.view.web.template.NodeNamespace&breadcrumbs=notify_subscribers%21nabble%3Aemail.naml-instant_emails%21nabble%3Aemail.naml-send_instant_email%21nabble%3Aemail.naml>
>>>>>
>>>>
>>>>
>>>>
>>>> --
>>>>
>>>> ***********************************************************************************
>>>> Chao YUE
>>>> Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IPSL)
>>>> UMR 1572 CEA-CNRS-UVSQ
>>>> Batiment 712 - Pe 119
>>>> 91191 GIF Sur YVETTE Cedex
>>>> Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16
>>>>
>>>> ************************************************************************************
>>>>
>>>> ------------------------------
>>>> View this message in context: Re: colorbllind problem<http://matplotlib.1069221.n5.nabble.com/colorbllind-problem-tp42884p42886.html>
>>>> Sent from the matplotlib - users mailing list archive<http://matplotlib.1069221.n5.nabble.com/matplotlib-users-f3.html>at Nabble.com.
>>>>
>>>>
>>>> ------------------------------------------------------------------------------
>>>> Managing the Performance of Cloud-Based Applications
>>>> Take advantage of what the Cloud has to offer - Avoid Common Pitfalls.
>>>> Read the Whitepaper.
>>>>
>>>> http://pubads.g.doubleclick.net/gampad/clk?id=121054471&iu=/4140/ostg.clktrk
>>>> _______________________________________________
>>>> Matplotlib-users mailing list
>>>> Mat...@li...
>>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>>
>>>>
>>>
>>>
>>> ------------------------------------------------------------------------------
>>> Managing the Performance of Cloud-Based Applications
>>> Take advantage of what the Cloud has to offer - Avoid Common Pitfalls.
>>> Read the Whitepaper.
>>>
>>> http://pubads.g.doubleclick.net/gampad/clk?id=121054471&iu=/4140/ostg.clktrk
>>> _______________________________________________
>>> Matplotlib-users mailing list
>>> Mat...@li...
>>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>>
>>>
>>
>>
>> ------------------------------------------------------------------------------
>> Managing the Performance of Cloud-Based Applications
>> Take advantage of what the Cloud has to offer - Avoid Common Pitfalls.
>> Read the Whitepaper.
>>
>> http://pubads.g.doubleclick.net/gampad/clk?id=121054471&iu=/4140/ostg.clktrk
>> _______________________________________________
>> Matplotlib-users mailing list
>> Mat...@li...
>> https://lists.sourceforge.net/lists/listinfo/matplotlib-users
>>
>>
>