Re: [Matplotlib-users] colorbllind problem
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.comwrote:
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
Re: [Matplotlib-users] colorbllind problem
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.comwrote:
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=nodenode=42886i=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.
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Re: [Matplotlib-users] colorbllind problem
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.comwrote:
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=nodenode=42886i=0wrote:
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=121054471iu=/4140/ostg.clktrk
Re: [Matplotlib-users] colorbllind problem
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.comwrote:
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.comwrote:
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=nodenode=42886i=0
wrote:
Hi,
I'm dealing with a guy that is colorblind.
Have you got any suggestion
Re: [Matplotlib-users] colorbllind problem
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]
ml-node+s1069221n42884...@n5.nabble.com 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=121054471iu=/4140/ostg.clktrk
___
Matplotlib-users mailing list
[hidden email] http://user/SendEmail.jtp?type=nodenode=42884i=0
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Re: [Matplotlib-users] colorbllind problem
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=nodenode=42886i=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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UMR 1572 CEA-CNRS-UVSQ
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Tel: (33) 01 69 08 29 02; Fax:01.69.08.77.16
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Re: [Matplotlib-users] colorbllind problem
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.comwrote:
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=nodenode=42886i=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.
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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
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Re: [Matplotlib-users] colorbllind problem
On Feb 17, 2014, at 1:15 PM, Gabriele Brambilla gb.gabrielebrambi...@gmail.com 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 Have you thought about plotting black lines and using different line styles? You could use very different line styles for lines that are close together such as 108.6 and 144.8 where trying to label the lines with a small number may be difficult. You might also use different markers for each line. You could only plot one or two markers if you don't want them cluttering up the lines. hth, Scott -- 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=121054471iu=/4140/ostg.clktrk ___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] colorbllind problem
On Mon, Feb 17, 2014 at 1:15 PM, Gabriele Brambilla gb.gabrielebrambi...@gmail.com 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? In addition to the other suggestions: If this is a plot that is viewed on his computer, you could also build in line picking, so that if the user mouses over the line, information about that line is shown in the toolbar or however you want. -- 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=121054471iu=/4140/ostg.clktrk___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] colorbllind problem
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.comwrote:
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=nodenode=42886i=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=121054471iu=/4140/ostg.clktrk
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***
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
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Re: [Matplotlib-users] colorbllind problem
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.comwrote:
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=nodenode=42886i=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=121054471iu=/4140/ostg.clktrk
___
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--
***
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
