.. class:: DictReader(csvfile, fieldnames=None, restkey=None, restval=None, \
dialect='excel', *args, **kwds)
- Create an object which operates like a regular reader but maps the
- information read into a dict whose keys are given by the optional
- *fieldnames* parameter. The *fieldnames* parameter is a :mod:`sequence
- <collections.abc>` whose elements are associated with the fields of the
- input data in order. These elements become the keys of the resulting
- dictionary. If the *fieldnames* parameter is omitted, the values in the
- first row of the *csvfile* will be used as the fieldnames. If the row read
- has more fields than the fieldnames sequence, the remaining data is added as
- a sequence keyed by the value of *restkey*. If the row read has fewer
- fields than the fieldnames sequence, the remaining keys take the value of
- the optional *restval* parameter. Any other optional or keyword arguments
- are passed to the underlying :class:`reader` instance.
+ Create an object that operates like a regular reader but maps the
+ information in each row to an :mod:`OrderedDict <collections.OrderedDict>`
+ whose keys are given by the optional *fieldnames* parameter.
+
+ The *fieldnames* parameter is a :term:`sequence`. If *fieldnames* is
+ omitted, the values in the first row of the *csvfile* will be used as the
+ fieldnames. Regardless of how the fieldnames are determined, the ordered
+ dictionary preserves their original ordering.
+
+ If a row has more fields than fieldnames, the remaining data is put in a
+ list and stored with the fieldname specified by *restkey* (which defaults
+ to ``None``). If a non-blank row has fewer fields than fieldnames, the
+ missing values are filled-in with ``None``.
+
+ All other optional or keyword arguments are passed to the underlying
+ :class:`reader` instance.
+
+ .. versionchanged:: 3.6
+ Returned rows are now of type :class:`OrderedDict`.
A short usage example::
... for row in reader:
... print(row['first_name'], row['last_name'])
...
- Baked Beans
- Lovely Spam
- Wonderful Spam
+ Eric Idle
+ John Cleese
+
+ >>> print(row)
+ OrderedDict([('first_name', 'John'), ('last_name', 'Cleese')])
.. class:: DictWriter(csvfile, fieldnames, restval='', extrasaction='raise', \
__doc__
from _csv import Dialect as _Dialect
+from collections import OrderedDict
from io import StringIO
__all__ = ["QUOTE_MINIMAL", "QUOTE_ALL", "QUOTE_NONNUMERIC", "QUOTE_NONE",
# values
while row == []:
row = next(self.reader)
- d = dict(zip(self.fieldnames, row))
+ d = OrderedDict(zip(self.fieldnames, row))
lf = len(self.fieldnames)
lr = len(row)
if lf < lr:
import gc
import pickle
from test import support
+from itertools import permutations
class Test_Csv(unittest.TestCase):
"""
fileobj.seek(0)
self.assertEqual(fileobj.read(), expected)
+class KeyOrderingTest(unittest.TestCase):
+
+ def test_ordering_for_the_dict_reader_and_writer(self):
+ resultset = set()
+ for keys in permutations("abcde"):
+ with TemporaryFile('w+', newline='', encoding="utf-8") as fileobject:
+ dw = csv.DictWriter(fileobject, keys)
+ dw.writeheader()
+ fileobject.seek(0)
+ dr = csv.DictReader(fileobject)
+ kt = tuple(dr.fieldnames)
+ self.assertEqual(keys, kt)
+ resultset.add(kt)
+ # Final sanity check: were all permutations unique?
+ self.assertEqual(len(resultset), 120, "Key ordering: some key permutations not collected (expected 120)")
class MiscTestCase(unittest.TestCase):
def test__all__(self):