A colormap can be called like a function to get the colors associated to
(normalized) values. In your example, it is called with uniformly spaced values
(linspace) between 0 and 1. This should return the corresponding colors.
print plt.get_cmap('gray')(0.0)
(0.0, 0.0, 0.0, 1.0)
print plt.get_
If you do not draw at all (no pcolor call), do you still get transparent colors
?
If yes, what is your .matplotlibrc ?
Nicolas
On 24 Mar 2014, at 11:49, Jesper Larsen wrote:
> Thanks Pierre,
>
> from __future__ import division did not help me, I am using mpl 1.1.1rc. I
> will try upgradi
Would something like this suit your needs ?
import matplotlib.pyplot as plt
# Image size
width,height = 640,480
# Pixel border around image
border = 1
dpi = 72.0
figsize= (width+2*border)/float(dpi), (height+2*border)/float(dpi)
fig = plt.figure(figsize=figsize, dpi=dpi, facecolor="white")
hpi
You can use the 'origin' keyword:
pl.controuf(Matrix, origin='lower')
or
pl.controuf(Matrix, origin='upper')
Nicolas
On May 23, 2013, at 7:27 AM, Bakhtiyor Zokhidov
wrote:
> Hi,
>
> I have following code:
>
> import numpy as np
> import pylab as pl
>
> Matrix(10,10) =
> np.array([[ 4.
>From the matplotlib page, you can reach:
http://www.ecse.rpi.edu/Homepages/wrf/Research/Short_Notes/pnpoly.html
and just translates the function:
def inside_polygon(p, vertices):
vx,vy = vertices[:,0], vertices[:,1]
x,y = p
c = 0
j = len(vertices)-1
for i in xrange(len(verti
I do exactly that from time to time (copying a graphic) and I always start
looking at the matplotlib gallery (http://matplotlib.org/gallery.html) for what
is the most similar figure and starts from here (after removing what is not
necessary). Most important is identifying the kind of axis nece
9:17 , Fernando Perez wrote:
> On Sat, Aug 11, 2012 at 12:09 AM, Nicolas Rougier
> wrote:
>> By the way, I suspect the simple plot part may well suited for the ipython
>> notebook !
>> I'll give it a try.
>
> Actually in the notebook it is now possible to enable exe
Thanks Fernando !
By the way, I suspect the simple plot part may well suited for the ipython
notebook !
I'll give it a try.
Nicolas
On Aug 11, 2012, at 4:55 , Fernando Perez wrote:
> On Fri, Aug 10, 2012 at 5:23 AM, Nicolas Rougier
> wrote:
>>
>> I've just
these external resources. Do you have any objections to me
> linking to this?
>
> Mike
>
> On 08/10/2012 08:23 AM, Nicolas Rougier wrote:
>>
>> Hi all,
>>
>>
>> I've just finished a new introductory tutorial for incoming Euroscipy 2012.
>&
, Benjamin Root wrote:
>
>
> On Fri, Aug 10, 2012 at 8:23 AM, Nicolas Rougier
> wrote:
>
>
> Hi all,
>
>
> I've just finished a new introductory tutorial for incoming Euroscipy 2012.
> You can find it here:
>
> http://www.loria.fr/~rougier/teac
Thank you all, I will try to correct that.
I developed it in full screen mode and did not paid attention to the layout.
Nicolas
On Aug 10, 2012, at 15:33 , Fabrice Silva wrote:
> Le vendredi 10 août 2012 à 14:19 +0100, Damon McDougall a écrit :
>> On Fri, Aug 10, 2012 at 09:10:15AM -0400, Benj
Hi all,
I've just finished a new introductory tutorial for incoming Euroscipy 2012. You
can find it here:
http://www.loria.fr/~rougier/teaching/matplotlib/
It is based on Mike Müller tutorial from scipy lecture notes
(http://scipy-lectures.github.com/intro/matplotlib/matplotlib.html)
Sour
What size/format do you need and would that be an option to transform/use Tango
icons ?
http://tango.freedesktop.org/
http://commons.wikimedia.org/wiki/Tango_icons
Tango (for fullscreen but might suit tight-layout)
<>
<>
<>
<>
<>
Nicolas
On Jul 19, 2012, at 0:47 , Benjamin Root wrote
Here is a quick example that might help you:
http://www.loria.fr/~rougier/coding/gallery/showcase/showcase-10-large.png
http://www.loria.fr/~rougier/coding/gallery/showcase/showcase-10.py
Nicolas
On Jul 16, 2012, at 11:27 , Daπid wrote:
> On Mon, Jul 16, 2012 at 11:09 AM, Benjamin Jonen w
Your files do not seem to be readable:
http://atmos.uwyo.edu/~gsever/data/matplotlib/test_speed.py
http://atmos.uwyo.edu/~gsever/data/matplotlib/test_speed.pdf
Nicolas
On Jul 4, 2012, at 19:17 , Gökhan Sever wrote:
> Hello,
>
> I am working on creating some distribution plots to analyze cl
I did it once and posted it to the list but never found the time to add it to
the official gallery (my bad):
http://www.loria.fr/~rougier/coding/gallery/showcase/showcase-3-large.png
http://www.loria.fr/~rougier/coding/gallery/
Nicolas
On Jun 23, 2012, at 5:36 , Benjamin Root wrote:
>
You need to specify the ylim because your height may be larger than your
histogram and then you cannot see it.
Here is a script that reproduce your screenshot (with random data).
import numpy as np
import matplotlib.pyplot as plt
plt.rc('xtick', direction = 'out')
plt.rc('ytick', direction =
e
Vector Charts
Statistical Charts
Maybe we can find/agree on similar structure(s)/sub-structure(s) and adapt it
to the current gallery ?
Nicolas
On Feb 23, 2012, at 16:59 , Jerzy Karczmarczuk wrote:
> Nicolas Rougier :
>> I've seen the discussion around the re-organization of the
I've seen the discussion around the re-organization of the matplotlib gallery.
If that might help, here is a link to a small gallery I made.
The overall organization is simply based on subdirectories so maybe it could be
a (temporary) solution for the matplotlib gallery (just matter of moving
Thanks for posting the link to glumpy.
As Benjamin explained, glumpy servers as a testbed for various technics that
could be implemented later in matplotlib. The main problem today is that if you
want to benefit from hardware acceleration, you have to use some GL features
that are not compati
Is that what you want ?
No ticks, no labels:
import matplotlib.pyplot as plt
plt.plot(np.arange(10), np.arange(10))
plt.ylim(0,10)
plt.yticks(np.linspace(3,10,8))
plt.show()
Ticks but no labels:
import matplotlib.pyplot as plt
plt.plot(np.arange(10), np.arange(10))
plt.ylim(0,10)
plt.yticks(n
e glumpy has it too.
> Can show the source code for the interactive plot in your examples ?
>
> thanks,
> stef
>
>
> On 17-09-2011 19:22, Nicolas Rougier wrote:
>>
>>
>> Hi folks,
>>
>> I am pleased to announce a new release of glumpy, a small
Hi folks,
I am pleased to announce a new release of glumpy, a small python library for
the (very) fast vizualization of numpy arrays, (mainly two dimensional) that
has been designed with efficiency in mind. If you want to draw nice figures for
inclusion in a scientific article, you’d better us
Hi folks,
I am pleased to announce a new release of glumpy, a small python library for
the (very) fast vizualization of numpy arrays, (mainly two dimensional) that
has been designed with efficiency in mind. If you want to draw nice figures for
inclusion in a scientific article, you’d better us
Thanks. Unfortunately wx and tk backends are broken on my machine (but they may
be easier to fix).
I will file a bug report for the native backend bug.
Nicolas
On Oct 4, 2010, at 22:27 , Friedrich Romstedt wrote:
> 2010/10/4 Nicolas Rougier :
>> I'm trying to have animat
I'm trying to have animated plots using draw_artist on mac os x and I got an
error with the following script:
import numpy as np
import matplotlib.pyplot as plt
plt.ion()
plt.figure()
subplot = plt.subplot(1,1,1)
axis = plt.imshow(np.random.random((10,10)))
plt.draw()
subplot.draw_artist(axis)
28, 2009 at 9:06 AM, Nicolas Rougier > wrote:
Hi all,
glumpy is a fast OpenGL visualization tool for numpy arrays coded on
top of pyglet (http://www.pyglet.org/). The package contains many
demos showing basic usage as well as integration with matplotlib. As a
reference, the animation script ava
Hi all,
glumpy is a fast OpenGL visualization tool for numpy arrays coded on
top of pyglet (http://www.pyglet.org/). The package contains many
demos showing basic usage as well as integration with matplotlib. As a
reference, the animation script available from matplotlib distribution
runs
the
> installation and what problems, if any, did you run into? And their fixes?
> Thanks for the info.
>
> -- Lou Pecora, my views are my own.
>
>
> --- On Thu, 11/27/08, Nicolas Rougier <[EMAIL PROTECTED]> wrote:
>
> > From: Nicolas Rougier <[EMAIL PROTECTE
Hi all,
I've been working lately on 3d visualization for my own need and maybe
the result may have some interest for some of you. I know there is
already mlab/mayavi2/vtk that does a great job, but after having spent
a lot of time trying to install all requirements, I headed for a very
fa
rather than just the standard
> python shell, into your console to get autocompletion, fancier help
> etc. I think the combination could be great.
>
> Thanks for sharing this, and keep us updated!
>
> Cheers,
> Mike
>
> Nicolas Rougier wrote:
> > Hi all,
>
mples from matplotlib examples and they
seem to be displayed properly. Any comments/requests are welcome.
Nicolas Rougier.
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