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)
lo
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_s
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
On Feb 17, 2014, at 1:15 PM, Gabriele Brambilla
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?
>
>
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 wrote:
> I'm wondering if the matplotlib
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
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 co
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 pyplo
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
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.loc
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