[Matplotlib-users] reduce the number of ticks
Hi, In order to get a plot with a small number of ticks, it is possible to create a matplotlib.ticker.MaxNLocator object with a small value for `nbins`. However, I found it also possible to modify the existing AutoLocator instances, since AutoLocator derives from MaxNLocator : ax.xaxis.major.locator.set_params(nbins=5) ax.yaxis.major.locator.set_params(nbins=5) (the default nbins value seems to be 9) The advantage of this inplace solution is that it doesn't any importing/browsing in the mpl namespace. However, it's still a bit long. I was then wondering : 1) is this solution recommended or not ? 2) is there a shortcup to avoird the five dots ? best, Pierre attachment: pierre_haessig.vcf signature.asc Description: OpenPGP digital signature -- Android apps run on BlackBerry 10 Introducing the new BlackBerry 10.2.1 Runtime for Android apps. Now with support for Jelly Bean, Bluetooth, Mapview and more. Get your Android app in front of a whole new audience. Start now. http://pubads.g.doubleclick.net/gampad/clk?id=124407151iu=/4140/ostg.clktrk___ Matplotlib-users mailing list Matplotlib-users@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-users
Re: [Matplotlib-users] reduce the number of ticks
On 2014/02/17 4:58 AM, Pierre Haessig wrote: Hi, In order to get a plot with a small number of ticks, it is possible to create a matplotlib.ticker.MaxNLocator object with a small value for `nbins`. However, I found it also possible to modify the existing AutoLocator instances, since AutoLocator derives from MaxNLocator : ax.xaxis.major.locator.set_params(nbins=5) ax.yaxis.major.locator.set_params(nbins=5) (the default nbins value seems to be 9) The advantage of this inplace solution is that it doesn't any importing/browsing in the mpl namespace. However, it's still a bit long. I was then wondering : 1) is this solution recommended or not ? 2) is there a shortcup to avoird the five dots ? http://matplotlib.org/api/pyplot_api.html?highlight=locator_params#matplotlib.pyplot.locator_params This is both a pyplot function and an Axes method. Eric best, Pierre -- 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] reduce the number of ticks
Le 17/02/2014 18:13, Eric Firing a écrit : I was then wondering : 1) is this solution recommended or not ? 2) is there a shortcup to avoird the five dots ? http://matplotlib.org/api/pyplot_api.html?highlight=locator_params#matplotlib.pyplot.locator_params This is both a pyplot function and an Axes method. Thanks a lot! I guess it would be nice to add a back reference to this method in http://matplotlib.org/api/ticker_api.html best, Pierre attachment: pierre_haessig.vcf signature.asc Description: OpenPGP digital signature -- 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 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
--
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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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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.
http://pubads.g.doubleclick.net/gampad/clk?id=121054471iu=/4140/ostg.clktrk
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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
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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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
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