heya,
I have a Excel .CSV file I'm attempting to read in with DictReader.
All seems to be well, except it seems to omit rows, specifically those with missing columns.
Our input looks like:
mail,givenName,sn,lorem,ipsum,dolor,telephoneNumber
[email protected],ian,bay,3424,8403,2535,+65(2)34523534545
[email protected],mike,gibson,3424,8403,2535,+65(2)34523534545
[email protected],ross,
martin,,,,+65(2)34523534545
[email protected],david,connor,,,,+65(2)34523534545
[email protected],chris,call,3424,8403,2535,+65(2)34523534545
So some of the rows have missing lorem/ipsum/dolor columns, and it's just a string of commas for those.
We're reading it in with:
def read_gd_dump(input_file="blah 20100423.csv"):
gd_extract = csv.DictReader(open('blah 20100423.csv'), restval='missing', dialect='excel')
return dict([(row['something'], row) for row in gd_extract])
And I checked that "something" (the key for our dict) isn't one of the missing columns, I had originally suspected it might be that. It's one of the columns after that.
However, DictReader seems to completely skip over the rows. I tried setting restval to something, didn't seem to make any difference. I can't seem to find anything in Python's CSV docs (http://docs.python.org/library/csv.html) that would explain this behaviour, but I may have misread something.
Any ideas?
Thanks,
Victor
