Mathew Topper wrote:
Hi,
I'm interested to know why the pip package manager is not more widely
supported for installation of python packages like matplotlib?
Matplotlib seems to be particularly slowly updated in the Fedora
repositories, for example, so I often find that a source
On Sun, Nov 18, 2012 at 5:51 PM, Adam Mercer ramer...@gmail.com wrote:
Hi
When running the testsuite for matplotlib-1.2.0 i.e.
$ nosetests -exe matplotlib
I'm getting a lot of errors of the form:
Does the same thing happen with the following command:
python -c import matplotlib;
Hello,
Hi
When running the testsuite for matplotlib-1.2.0 i.e.
$ nosetests -exe matplotlib
This is not the correct way to run the tests. You need to run them using:
python tests.py
I currently have a PR that indicates that in the README
I'm getting a lot of errors of the form:
Does
Chao,
I'm glad you were able to get what you wanted.
I don't know how to add anything to the gallery.
-Sterling
On Nov 17, 2012, at 3:32AM, Chao YUE wrote:
Hi Sterling,
Thanks for the help. Now we have a complete script that works as what we want:
labels parallel with the
On Mon, Nov 19, 2012 at 7:44 AM, Nelle Varoquaux
nelle.varoqu...@gmail.com wrote:
This is not the correct way to run the tests.
Then that explains it, thanks.
Does the same thing happen with the following command:
python -c import matplotlib; matplotlib.test()
No, all tests pass (or fail
Hi everybody,
I have a problem with LinearSegmentedColormap.
In the example below (see PS), I make a colormap, and use it to plot an
EllipseCollection. My plot is parameterized by a quantity that I have named
large_value. For large_value equal to 257, a blue point is obtained at
(x=0.3,
On 2012/11/19 11:42 AM, TP wrote:
Hi everybody,
I have a problem with LinearSegmentedColormap.
In the example below (see PS), I make a colormap, and use it to plot an
EllipseCollection. My plot is parameterized by a quantity that I have named
large_value. For large_value equal to 257, a blue
Hi there,
I've boiled down a problem and while the following my look useless, I need to
understand why matplotlib is behaving like it is.
Below is code showing my issue. I don't believe the issue is with the
bbox_inches='tight', if you leave that off, my image is indeed, 800x1400, but
the
I want to plot a series of (x,y) datasets similar to the
polygon plot tutorial example (add_collection3d),
but with a transparent facecolor and no baseline.
Setting alpha=0.0 in the tutorial example (below)
achieves the transparency, but the baseline remains.
Is there a way to remove the
