Just to conclude the problem. I've just installed a fresh svn matplotlib
(1.0-svn to be exact) and the problem with path optimisation disappeared,
meaning with path.simplify False plots are correct as far as my data is
concerned.
BTW it very nicely builds out-of-the-box on 10.6 in 64-bit mode.
Dear John and Eric,
Thank you for the fast response. I'm using version 0.99.1.1 (to be exact), the
MacOSX binary release for Python 2.5. The fix with path.simplify: False in
matplotlibrc works perfectly! I googled quite a lot beforehand in order to find
a fix for this issue, but obviously faile
On Thu, Feb 18, 2010 at 4:19 PM, Jakub Nowacki
wrote:
> Hi,
>
> I work with neural models and I have problem with plotting fast spiking data.
> The spikes on the plot appear to have different hight which changes when I
> for example resize the plot window. The same problem is with saving data in
Jakub Nowacki wrote:
> Hi,
>
> I work with neural models and I have problem with plotting fast spiking data.
> The spikes on the plot appear to have different hight which changes when I
> for example resize the plot window. The same problem is with saving data into
> files, especially in vector
Hi,
I work with neural models and I have problem with plotting fast spiking data.
The spikes on the plot appear to have different hight which changes when I for
example resize the plot window. The same problem is with saving data into
files, especially in vector formats. I found the information
