Thanks for the quick hint. I had to lookup how to apply filters but it was 
rather straightforward (only a bit hard to infer the structure of the 
python objects from the Haskell data type documentation).
In case someone is interested, the following hacky filter worked at first 
glance.

#!/usr/local/bin/python3

"""
Pandoc filter to convert code blocks of certain language classes to code 
class
"""

from pandocfilters import *

def addCodeClass(key, value, format, meta):
  if key == 'CodeBlock':
    [[ident, classes, keyvals], code] = value
    if "python" in classes:
      classes.remove("python")
      classes.append("code")
    return CodeBlock([ident, classes, keyvals], code)

if __name__ == "__main__":
  toJSONFilter(addCodeClass)

John MacFarlane schrieb am Dienstag, 21. September 2021 um 18:04:16 UTC+2:

>
> You could use a filter to add the "code" class to, say,
> all code blocks with the "python" class.
>
> Julianus Pfeuffer <jul...-Re5JQEeQqe8AvxtiuMwx3w@public.gmane.org> writes:
>
> > Hi all,
> >
> > does anyone know of a way, how to decide which code language to convert 
> to 
> > an ipynb code cell?
> > The default is "code" but of course no one would just use "code" as a 
> > language description in input formats that are not specifically written 
> for 
> > this pandoc conversion to ipynb.
> >
> > I am envisioning to be able to specify e.g. python, R as languages of my 
> > input code blocks (as long as the input format supports a language tag, 
> > e.g. Markdown or rst) which should be converted to executable code cells 
> in 
> > the notebook.
> >
> > Is this possible?
> >
> > Thanks and cheers
> > Julianus
> >
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>

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