Hello,
I am trying to plot a line assigning a user specified color to each
marker. The idea is that if I have n points x, n ppoints y, I was
expecting to be able to provide n markeredgecolors or n markerfacecolors
as a (npoints, 4) array of RGBA values. However that does not seem to be
possibl
Resending to the list, but also with amendments to my previous statement
(the new gmail app is really crappy with viewing conversations...)
"""
Ah, I see I missed that in the original message (I was heading out the door
at the time). You say there is a crash. Is there a traceback or segfault?
Also
If you want each marker to be a different color you have to use scatter.
You can pass scatter a sequence of colors (see
http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.scatter) so you
don't have to go through making a custom colormap.
Tom
On Thu Nov 13 2014 at 9:01:42 AM "V. Armando S
Also note that there is an rcparams context manager (
http://matplotlib.org/api/matplotlib_configuration_api.html#matplotlib.rc_context)
that will take care of the boiler plate of temporarily changing an rcparam.
On Wed Nov 12 2014 at 10:52:03 PM Sterling Smith
wrote:
> Virgil,
>
> Glad to hea
Someone installed Vizard on my PC before, which has its own python
distribution, that may be the reason of all those troubles. I uninstalled
it.
Then I tried the code with python without any IDE from the Windows console.
The same kind of thing happens. With "agg" backend, no error, but no figure
e
Does a fresh conda environment help?
On Wed, Nov 12, 2014 at 5:38 PM, Geoffrey Mégardon <
geoffrey.megar...@gmail.com> wrote:
> Yes, I may forget to tell, but this code is 100% working, it work on other
> installations I have. So the problem is not in the code.
>
> It is just that on my current l
On 13.11.2014 18:04, Thomas Caswell wrote:
> If you want each marker to be a different color you have to use
> scatter. You can pass scatter a sequence of colors (see
> http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.scatter
> [4]) so you don't have to go through making a custom colorm
I uninstall and reinstall Anaconda.
That still does not work :/
Is it possible there is like OpenGL problem, graphic card driver problem,
or something linked to displaying 3d?
On 13 November 2014 13:32, Paul Hobson wrote:
> Does a fresh conda environment help?
>
> On Wed, Nov 12, 2014 at 5:38 P
No clue about that. BTW, I'll i was suggestion was to create a new conda
enviorment:
> conda create --name=mpl3dtest matplotlib ipython-notebook python=3.4
...
> activate mpl3dtest
> ipython notebook
> [test out 3d plotting]
On Thu, Nov 13, 2014 at 12:44 PM, Geoffrey Mégardon <
geoffrey.megar...
No OpenGL. The 3d graphics all goes through the same layering engine as the
2D plots. They aren't real 3D plots but rather what I like to call "2.1D"
plots. A single point of a 3D element is chosen to determine how to layer
it with everything else. So, it is very easy to get visualization
artifacts
That returns:
C:\Anaconda\lib\site-packages\matplotlib\__init__.pyc
C:\Anaconda\lib\site-packages\mpl_toolkits\mplot3d\__init__.pyc
On 13 November 2014 16:40, Benjamin Root wrote:
> No OpenGL. The 3d graphics all goes through the same layering engine as
> the 2D plots. They aren't real 3D plots
Yeah, I am at a real loss here. Can you try one of the axes_grid1 examples?
Also, how about the basemap examples? Those are both mpl_toolkit packages
as well and might behave similarly. Also, it would be interesting to figure
out at exactly which step the failure happens. There is a package called
I will have a look to faulthandler but I never used it before.
To use savefig() leads to the same crash.
The two first examples on this pages work fine:
http://matplotlib.org/mpl_toolkits/axes_grid/users/overview.html
The first example from: http://matplotlib.org/basemap/users/examples.html
send
sorry to double post,
I don't know if it is linked but Pycharms complains about Skeleton
Generation Problems, among the errors there is one which has matplotlib
inside:
*Failed modules*
Python 2.7.8 (C:\Anaconda\python.exe)
dde
matplotlib._cntr
win32ui
win32uiole
Generation of skeletons for the m
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