Hi,
I have a web application using matplotlib which is unpredictably
crashing with the error message from the subject. It seems to be
happening in ft2font, but I can't be certain at this stage that it's
only occurring there (although since isolating it via logging
statements, every time it has oc
Dear all,
Just a very stupid question, where I can find the archive of our mailing
list and is there a search function?
cheers,
Chao
--
***
Chao YUE
Laboratoire des Sciences du Climat et de l'Environnement (LSCE-IP
Archive is here (just because I was on that page earlier today):
http://sourceforge.net/mailarchive/forum.php?forum_name=matplotlib-users
I'm not sure about a dedicated search though sorry.
On 18 May 2011 19:51, Yue Chao wrote:
> Dear all,
>
> Just a very stupid question, where I can find the a
Thank you Mark!
If there is no search engine, we'll not make full use of FAQ history...
Chao
2011/5/18 Mark Hepburn
> Archive is here (just because I was on that page earlier today):
> http://sourceforge.net/mailarchive/forum.php?forum_name=matplotlib-users
>
> I'm not sure about a dedicated s
Darren Dale wrote:
> On Tue, May 17, 2011 at 2:05 PM, Neal Becker wrote:
>> I have an old fedora 11 system. When I try to use latex math (e.g.,
>> $\mu=2$), it gives no error, but seems to produce gibberish (just ordinary
>> ascii chars) in my pdf output.
>>
>> Any ideas how to debug?
>
> Try u
Dear all,
Is there built-in color list for ploting making in matplotlib? Say I want to
plot barplot:
rect1=plt.bar(ind,np.array(data[1][1:col]),Width,color='b',edgecolor='none')
rect2=plt.bar(ind+Width,np.array(data[2][1:col]),Width,color='g',edgecolor='none')
rect3=plt.bar(ind+Width*2,np.array(d
Can you provide a stack trace -- either a Python one, or a gdb one?
Mike
On 05/18/2011 03:25 AM, Mark Hepburn wrote:
> Hi,
>
> I have a web application using matplotlib which is unpredictably
> crashing with the error message from the subject. It seems to be
> happening in ft2font, but I can't b
Are you setting text.usetex to True, or using matplotlib's built-in
mathtext rendering?
Can you attach an image? I've seen enough of these failure cases that I
can often guess by looking at it ;)
Mike
On 05/18/2011 09:21 AM, Neal Becker wrote:
> Darren Dale wrote:
>
>> On Tue, May 17, 2011 at
On Wed, May 18, 2011 at 5:52 AM, Yue Chao wrote:
> Thank you Mark!
>
> If there is no search engine, we'll not make full use of FAQ history...
>
> Chao
>
>
There is a search feature provided by nabble here:
http://old.nabble.com/matplotlib---users-f2906.html
Don't know how good it is, but it do
Michael Droettboom wrote:
> Are you setting text.usetex to True, or using matplotlib's built-in
> mathtext rendering?
>
> Can you attach an image? I've seen enough of these failure cases that I
> can often guess by looking at it ;)
>
> Mike
>
> On 05/18/2011 09:21 AM, Neal Becker wrote:
>> Darr
Sounds like you don't have the fonts installed and/or they are not
getting found.
You can try removing the font cache, which will force a research.
(~/.matplotlib/fontList.cache)
If that doesn't work, in your matplotlibrc add the line:
verbose.level: debug-annoying
This will print out a
Using scatter, it seems less probably (numerous) points show just as much as
more probable points. Can anyone suggest a good way to emphasize the more
probable points?
I was thinking maybe the easy way is just scale down the markers. Drawback may
be too many points plotted.
Colors would be n
On 05/18/2011 09:01 AM, Neal Becker wrote:
> Using scatter, it seems less probably (numerous) points show just as much as
> more probable points. Can anyone suggest a good way to emphasize the more
> probable points?
This is what hexbin is for, although it takes the additional step of
showing po
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On Wed, May 18, 2011 at 3:01 PM, Neal Becker wrote:
> Using scatter, it seems less probably (numerous) points show just as much
> as
> more probable points. Can anyone suggest a good way to emphasize the more
> probable points?
>
> I was thinking maybe the easy way is just scale down the markers
On 05/18/2011 09:01 AM, Neal Becker wrote:
> Using scatter, it seems less probably (numerous) points show just as much as
> more probable points. Can anyone suggest a good way to emphasize the more
> probable points?
Another idea: set alpha to something less than 1, maybe something like
0.3; the
Eric Firing wrote:
> On 05/18/2011 09:01 AM, Neal Becker wrote:
>> Using scatter, it seems less probably (numerous) points show just as much as
>> more probable points. Can anyone suggest a good way to emphasize the more
>> probable points?
>
> This is what hexbin is for, although it takes the a
There's a heap of searches - the old.nabble one listed.
http://old.nabble.com/matplotlib---users-f2906.html
plus
http://www.mail-archive.com/matplotlib-users@lists.sourceforge.net/info.html
http://blog.gmane.org/gmane.comp.python.matplotlib.general
http://www.mailinglistarchive.com/html/matplotlib
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