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 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,
On Mon, Oct 17, 2011 at 2:57 PM, tinux hoffmann.mar...@gmail.com 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
