On 14/07/2010 19:34, Alan Gauld wrote:
"Christian Witts" <cwi...@compuscan.co.za> wrote
You need a display function that can strip out the nulls as needed.
A simple list comprehension or generator expression would work
in this case:
print ' '.join(str(field) for field in data if field is not 'None')
The problem with that is if you're relying on a set delimiter you are
removing elements so you would be better served by doing `str(field)
if field != None else '' for field in record`
True, although in this case we do seem to have a fixed condition
since it's the database's representation of null but I originally didn't
notice the quotes around None. When I fixed that I should have
changed is to equals..
print ' '.join(str(field) for field in data if field != 'None')
But your modification confuses me. can you explain?
What would the print line look like?
Alan G.
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I prefer not to use a space delimiter, generally a pipe |, so the output
would look a lot like
104||Sylvester||Evans||527-9210 Prion
Av.|Liberal|VT|24742|1-135-197-1139|vehicula.pellentes...@idmollis.edu|2010-07-13
22:52:50|2010-07-13 22:52:50
The reason I suggested that usage instead is because Monte said
>>> having the 'None' values omitted really messed with the list order
which I was depending on
So if you're wanting to create a new list which removes the Nones but
still keeps the same indexing it would be the way to do it, imho.
--
Kind Regards,
Christian Witts
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