I wrote a function that serializes a list of dictionaries as a CSV file using the csv
module, with code like this:
data = csv.DictWriter(out_f,
Changes to your code:
Forget Dictwriter, use ordinary writer.
Then loop over your list of dicts:
for d in dictrows:
ordinary_writer.writerow([d[fieldname] for fieldname in fieldnames])
Use d.get(fieldname, "")
instead of d[fieldname]
if you don't want an exception if there is no entry in d
for a fieldname
.
Note to anonymous downvoters: This is doing what Alex's solution is doing under the hood (see Lib/csv.py) and doing it a bit better ... csv.py calls a function to get each row in a list, and the guts of that function is
return [rowdict.get(key, self.restval) for key in self.fieldnames]
Simplest and most direct approach is to pass extrasaction='ignore'
when you initialize your DictWriter
instance, as documented here:
If the dictionary passed to the
writerow()
method contains a key not found in fieldnames, the optional extrasaction parameter indicates what action to take. If it is set to'raise'
aValueError
is raised. If it is set to'ignore'
, extra values in the dictionary are ignored.
It also works on writerows
, which, internally, just calls writerow
repeatedly.