Thank you for the tip. I actually had played around with
matplotlib.rcdefaults() before, but that didn't work. I tried now the
using exactly the clear_state function you suggested. Since it still
didn't work, I finally found out that I had a very similar problem with
another module from which I
On Mon, Oct 17, 2011 at 2:57 PM, tinux wrote:
>
> I have around 100 python files, that each create one figure using matplotlib.
> Since I want to use all CPU cores, I basically did "for filename in files:
> execfile(filename)" using a python script. However, this does not produce
> the same output
I have around 100 python files, that each create one figure using matplotlib.
Since I want to use all CPU cores, I basically did "for filename in files:
execfile(filename)" using a python script. However, this does not produce
the same output as running each file separately (for instance axes, fig
