3 回答

TA貢獻(xiàn)1784條經(jīng)驗(yàn) 獲得超2個(gè)贊
您可以將文件的第一行小寫,然后再傳遞給DictReader:
import csv
import itertools
def lower_first(iterator):
return itertools.chain([next(iterator).lower()], iterator)
with open(ifs_data_file, 'rU') as datafile:
csvDict = csv.DictReader(lower_first(datafile))
for row in csvDict:
print row

TA貢獻(xiàn)1785條經(jīng)驗(yàn) 獲得超8個(gè)贊
DictReader是一個(gè)老式的對(duì)象,因此super()在這里根本無法使用。您需要直接訪問property父類中的對(duì)象。在Python 2中,您要覆蓋.next()方法,而不是.__next__():
class DictReaderInsensitive(csv.DictReader):
# This class overrides the csv.fieldnames property.
# All fieldnames are without white space and in lower case
@property
def fieldnames(self):
return [field.strip().lower() for field in csv.DictReader.fieldnames.fget(self)]
def next(self):
return DictInsensitive(csv.DictReader.next(self))
演示:
>>> example = '''\
... foo,Bar,BAZ
... 42,3.14159,Hello world!'''.splitlines()
>>> csvDict = DictReaderInsensitive(example)
>>> row = next(csvDict)
>>> print row
{'bar': '3.14159', 'foo': '42', 'baz': 'Hello world!'}
>>> row['BAZ']
'Hello world!'

TA貢獻(xiàn)1797條經(jīng)驗(yàn) 獲得超4個(gè)贊
對(duì)于更簡單的方法,您可以在訪問字典之前簡單地更新DictReader.fieldnames屬性,如下所示:
>>> f = open('example-x-y-time.csv', 'rb')
>>> reader = csv.DictReader(f)
>>> reader.fieldnames
['Latitude', 'Longitude', 'Date']
>>> print next(reader)
{'Latitude': '44.8982391', 'Date': '2004-07-12', 'Longitude': '-117.7791061'}
>>> reader.fieldnames = [name.lower() for name in reader.fieldnames]
>>> print next(reader)
{'latitude': '44.6637001', 'date': '1964-04-03', 'longitude': '-123.5997009'}