Jervis Whitley <[email protected]> added the comment:
An implementation of a namedtuple reader and writer.
Created a writer for the case where user would like to specify
desired field names and default values on missing field names.
e.g.
mywriter = NamedTupleWriter(f, fieldnames=['f1', 'f2', 'f3'],
restval='missing')
Nt = namedtuple('LessFields', 'f1 f3')
nt = Nt(f1='one', f2=2)
mywriter.writerow(nt) # writes one,missing,2
any thoughts on case where defined fieldname has a leading
underscore? Should there be a flag to silently ignore?
e.g.
if self._ignore_underscores:
fieldname = fieldname.lstrip('_')
Leading underscores may be present in an unsighted csv file,
additionally, spaces and other non alpha numeric characters pose
a problem that does not affect the DictReader class.
Cheers,
----------
keywords: +patch
nosy: +jdwhitley
Added file: http://bugs.python.org/file12990/ntreader3.diff
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