Thanks for your fast response -- faster than I could post a follow-up.
You're right about the stack trace. It occurred to me after I posted that I
should look to see exactly where the exception was triggered. As it turned
out, I'd added a new module a few days ago and wasn't careful about where I
added the import. Here at work it didn't make a difference, but launching
from home...
Once I reordered the new import the error disappeared.
BTW, the reason I specify a PDF backend is because I thought it would tell
matplotlib not to try to use anything else "behind the scenes" such as an
X-window display. It's working the way I want now, so I assume that's what
it's doing.
Benjamin Root-2 wrote:
>
> On Thursday, September 1, 2011, CompBio <roger...@cs.colostate.edu> wrote:
>>
>> I'm trying to get a script to work in batch mode to produce a large
>> number
> of
>> plots. I've got the following sequence of imports in a matplotlib Python
>> script:
>>
>> import matplotlib, os, sys
>> ...
>> if file_ext == 'png' :
>> sys.stderr.write('Using PNG output format\n')
>> matplotlib.use('agg')
>> elif file_ext == 'pdf' :
>> sys.stderr.write('Using PDF output format\n')
>> matplotlib.use('PDF')
>>
>> from pylab import *
>>
>> ... remainder of plotting code ...
>>
>> At first this appeared to work without any problems. I could kick off a
> job
>> in background, log off the machine and return later when all the graphs
> had
>> been produced.
>>
>> Now I get this RuntimeError exception. Is there anything else I need to
> do
>> to convince matplotlib that it doesn't need my local display?
>>
>> thanks!
>> --
>
> Without the stack trace, it would be hard to tell. Plus, there is already
> logic in the backends to switch to PDF and such for saving files. It
> should
> only be necessary to set the backend to AGG if you want a headless batch
> script.
>
> Ben Root
>
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