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
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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] install on mac osx 10.7.5?
I've tried various ways of getting matplotlib on my OS X 10.7.5, and have it work with numpy, etc. The approach that worked most smoothly was using the conda package manager from contiuum analyticshttp://conda.pydata.org/docs/intro.html. At first I installed the complete anaconda distributionhttps://store.continuum.io/cshop/anaconda/which contains almost everything I wanted, plus a lot of stuff I don't need. And everything worked, including matplotlib. Since then I've learned that conda works great installing things one at a time while taking care of dependencies, so if all I want is matplotlib, I get that plus it dependencies, and it works. But if you want an easy, fast (but large) solution, install Anaconda. Conda has many other nice features that may or may not be useful to you. HTH, gary ~-~-~ On Sun, Feb 16, 2014 at 11:05 PM, Maggie Maes margaret.e.m...@gmail.comwrote: Hi everyone, Sorry if this is a redundant request, but I haven't been able to find any reliable sources online. I'm trying to install matplotlib on my mac with osx 10.7.5. I get the following error: unknowne4ce8f4d9c9c:matplotlib margaretmaes$ python setup.py build Edit setup.cfg to change the build options BUILDING MATPLOTLIB matplotlib: yes [1.4.x] python: yes [2.7.1 (r271:86832, Jun 16 2011, 16:59:05) [GCC 4.2.1 (Based on Apple Inc. build 5658) (LLVM build 2335.15.00)]] platform: yes [darwin] REQUIRED DEPENDENCIES AND EXTENSIONS numpy: yes [version 1.5.1] six: yes [six was not found.] dateutil: yes [using dateutil version 1.5] tornado: yes [tornado was not found. It is required for the WebAgg backend. pip/easy_install may attempt to install it after matplotlib.] pyparsing: yes [pyparsing was not found. It is required for mathtext support. pip/easy_install may attempt to install it after matplotlib.] pycxx: yes [Couldn't import. Using local copy.] libagg: yes [pkg-config information for 'libagg' could not be found. Using local copy.] freetype: no [The C/C++ header for freetype2 (ft2build.h) could not be found. You may need to install the development package.] png: yes [pkg-config information for 'libpng' could not be found. Using unknown version.] qhull: yes [pkg-config information for 'qhull' could not be found. Using local copy.] OPTIONAL SUBPACKAGES sample_data: yes [installing] toolkits: yes [installing] tests: yes [nose 0.11.1 or later is required to run the matplotlib test suite. pip/easy_install may attempt to install it after matplotlib. / mock is required to run the matplotlib test suite. pip/easy_install may attempt to install it after matplotlib.] OPTIONAL BACKEND EXTENSIONS macosx: yes [installing, darwin] qt4agg: no [PyQt4 not found] gtk3agg: no [Requires pygobject to be installed.] gtk3cairo: no [Requires cairocffi or pycairo to be installed.] gtkagg: no [Requires pygtk] tkagg: no [The C/C++ header for Tk (tk.h) could not be found. You may need to install the development package.] wxagg: no [requires wxPython] gtk: no [Requires pygtk] agg: yes [installing] cairo: no [cairocffi or pycairo not found] windowing: no [Microsoft Windows only] OPTIONAL LATEX DEPENDENCIES dvipng: no ghostscript: no latex: no pdftops: no * The following required packages can not be built: * freetype I've tried symbolic linking freetype-related files in /usr/local (as seen here: http://stackoverflow.com/questions/4092994/unable-to-install-matplotlib-on-mac-os-x). I've also confirmed that freetype-related files are in my PATH environment variable. Could anyone point me in the right direction for installing the package? Many thanks, Maggie -- Android apps run on BlackBerry 10 Introducing the new BlackBerry 10.2.1 Runtime for Android apps. Now with support for Jelly Bean, Bluetooth,
