On Nov 16, 2012, at 2:25PM, Russell E. Owen wrote:
> In article <50a61b5b.1090...@ed.ac.uk>,
> 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
Chao,
If you don't need the tick marks and are only annoyed by their appearance in
the colorbar, then I am pasting below our code so far setting the tick length
to 0.
Code so far:
from pylab import *
fig = figure(2)
fig.clear()
a = np.arange(100).reshape(10,10)
cbarlevel=np.arange(0,101,10)
In article <50a61b5b.1090...@ed.ac.uk>,
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
On Fri, Nov 16, 2012 at 11:35 AM, Jon Ramsey wrote:
> Hi Everyone,
>
> I have just upgraded to matplotlib 1.2.0 so that I can use the streamplot
> module, which I'm quite happy about!
> However, I've noticed that when one tries to color the streamlines using a
> 2-D array which contains NaNs, str
Chao,
The secret is positioning your ticks. I list here an untested attempt at
putting the labels at the average of the current and next levels:
cbar.set_ticks((cbarlevel[1:]+cbarlevel[:-1])/2.)
Because you have less ticks, then you will want to remove the line
cbar_level.append('')
Hope tha
Hi Everyone,
I have just upgraded to matplotlib 1.2.0 so that I can use the streamplot
module, which I'm quite happy about!
However, I've noticed that when one tries to color the streamlines using a
2-D array which contains NaNs, streamlines of only one color are shown! I
have appended example co
I have a bit progress, but still not very well.
#to have a contourf plot
a = np.arange(100).reshape(10,10)
cbarlevel=np.arange(0,101,10)
contourf(a,levels=cbarlevel)
cbar = colorbar()
cbar.set_ticks(cbarlevel)
#to manipulate the range:
cbar_label = []
for i in range(len(cbarlevel)-1):
cbar_la
Thanks Mike, that's good to know. Will packages dependant on matplotlib
(I'm thinking of basemap) be encouraged to follow suit? I know that
python package management is a massive headache for our system
maintainers here, and any simplification would be gratefully received.
Cheers,
Mat
On 16/
One of the reasons (historically) is that the build scripts predate
setuptools and ships copies of dependencies rather than using
easy_install or pip to install them. There is an open PR to address
this here:
https://github.com/matplotlib/matplotlib/pull/1454
But you do make a good point tha
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 installation is
necessary. I know
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