At least for me gmail put your mail in the spam folder.
Anyway the inline backend is actually from in IPython/Jupyter and not in
matplotlib. I think they have changed the default a couple of times and had
the transparent as a default earlier but changed it. Looking at the current
master it looks l
Hi Andy
Please just try replacing %matplotlib inline with %matplitlib notebook
which should give you a complete interactive backend in the notebook.
It's by no means as nicely documented as it should be, but I use it on a
regular basis with matplotlib 1.5.1 and don't have any major issues. If you
ckend
Note that the MPLBACKEND environmental variable was not added until
matplotlib 1.5
best
Jens
On Fri, 27 Nov 2015 at 14:30 Paul Harrison
wrote:
> I get:
>
> >>> plt.show()
>
> >>> import matplotlib
>
> >>> matplotlib.get_backend()
>
> &
gt; 0.2, 0.4, 0.6, 0.8, 1. , 1.2, 1.4, 1.6, 1.8, 2. ]), Patch objects>)
>
> >>> plt.show()
>
> >>>
>
> Thanks,
>
> Paul
>
>
> On Fri, Nov 27, 2015 at 12:10 PM, Jens Nielsen
> wrote:
>
>> Sorry but the parentheses have not gone
Sorry but the parentheses have not gone missing in your copy paste. The
line below will only be printed if you don't have any parentheses after the
function. Can you try again and show the output of actually calling
plt.show()?
Best
Jens
On Fri, 27 Nov 2015 at 11:58 Paul Harrison
wrote:
> Apolo
plt.show is a function. You are not calling it just displaying it. Try
doing plt.show()
BTW please use the new mailing list at matplotlib-us...@python.org
best
Jens
On Fri, 27 Nov 2015 at 11:36 Paul Harrison
wrote:
>
> Hi guys,
>
> If I do the following, no plot shows:
>
> ply5@xroa-dt-20:~> p
changed to matplotlib-us...@python.org.
best
Jens
fre. 30. okt. 2015 kl. 12.43 skrev Jonno :
> Traceback (most recent call last):
> File "", line 1, in
> ImportError: DLL load failed: The specified module could not be found.
>
> On Fri, Oct 30, 2015 at 2:26 AM, Jens
It sounds like your PyQt package is broken.
What happens if you do:
from PyQt4 import QtCore, QtGui
in a python shell
/Jens
fre. 30. okt. 2015 kl. 03.06 skrev Jonno :
> Not sure where to post this.
>
> I have a fresh Anaconda Win64 python 2.7.10 install which I then updated
> using conda upda
Thomas Robitailles pytest image comparison plugin might also be of
interest
https://github.com/astrofrog/pytest-mpl
Jens
tor. 30. jul. 2015 kl. 14.43 skrev Thomas Caswell :
>
> Paul Hobson expressed interest in making it easier to use the image
> comparison tests out side of the mpl test suite
I think you either need to escape the \ as \\ or use a raw string .i.e do
r'$\alpha$' otherwise \a gets interpreted as control character.
try entering '\alpha' in a regular python prompt and you will se what
happens.
Best
Jens
tir. 28. jul. 2015 kl. 16.01 skrev Joao Quinta da Fonseca <
joao.fons
IGtk3Agg should work in you use cairocffi instead of py(2/3)cairo. AFAIK
py(2/3)cairo is more or less unmaintained these days and that function has
never been implemented in a released version.
Best
Jens
tir. 26. maj 2015 kl. 16.27 skrev David :
> > I take it that it doesn't happen using the GT
conclusion.
>
> Python 3.4.0 (default, Apr 11 2014, 13:05:11)
> [GCC 4.8.2] on linux
> Type "help", "copyright", "credits" or "license" for more information.
> >>> import setuptools
> >>> print(setuptools.__version__)
> 14.3.1
&g
print(setuptools.__version__)
> 14.3.1
> >>> exit()
>
> cheers,
> Christian
> --
> "A little learning never caused anyone's head to explode!"
>
>
> "Ein wenig Lernen hat noch niemandens Kopf zum Explodieren gebracht!"
>
>
>
>
I think we have seen this issue before and it seems to be caused by an out
of date version of setuptools. I tried reproducing it on fresh ubuntu 14.04
machine but was not able to reproduce the issue. Do you know which version
of setuptools you are using?
Jens
ons. 1. apr. 2015 kl. 14.19 skrev Tho
Which program is that screenshot from? It is likely due to a bug in that
render. Since is displays normally in the browser. The plot lines are
clipped behind the background but that obviously doesn't work correctly in
that case. Not sure what can be done with in from the matplotlib side
best
Jens
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