Dear Jonathan,

this worked well, even with the PDF backend. Maybe that short piece of information could be added to the corresponding FAQ.

Thank you for the swift help.

Best regards,
Christoph

Am 13.03.2019 um 17:28 schrieb Guyer, Jonathan E. Dr. (Fed) via fipy:
I think option 3 is what you want. Before import fipy or anything else, start 
your script with
```
import matplotlib
matplotlib.use('backend')
```

On Mar 13, 2019, at 9:43 AM, Christoph Margenfeld 
<c.margenf...@tu-braunschweig.de> wrote:

Hello,

as mentioned in the FiPy FAQ, a different Matplotlib backend has to be
used when exporting images from the MatplotlibViewer class without any
output to the screen.

 From the Matplotlib documentation (at
https://gcc01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fmatplotlib.org%2Ftutorials%2Fintroductory%2Fusage.html%23what-is-a-backend&amp;data=02%7C01%7Cjonathan.guyer%40nist.gov%7Cfcdca20d85b343ceac4b08d6a7ba19f0%7C2ab5d82fd8fa4797a93e054655c61dec%7C1%7C0%7C636880815078320111&amp;sdata=%2B0YF4KH4MUJJcHVjxm5RXUpE%2BYUdSoLLcWEn6HAlmsE%3D&amp;reserved=0),
there are three ways to select a backend. The first two would involve
setting it in a .matplotlibrc file or as an environment variable.
However, that would affect all scripts run in that particular
environment, which I do not want to do. The third approach is setting
matplotlib.use('backend').

How can I select a Matplotlib backend for a certain MatplotlibViewer
without affecting any other scripts run from my environment?

Thank you!

Best regards,
Christoph Margenfeld
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Christoph Margenfeld, M.Sc.
Institut für Halbleitertechnik
TU Braunschweig
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38106 Braunschweig
Tel. +49 531 391 3786
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