def read_csv(file, columns, type_name="Row"):
try:
row_type = namedtuple(type_name, columns)
except ValueError:
row_type = tuple
rows = iter(csv.reader(file))
header = rows.next()
mapping = [header.index(x) for x in columns]
for row in rows:
row = row_type(*[row[i] for i in mapping])
yield row
例子：
>>> import csv
>>> from collections import namedtuple
>>> from StringIO import StringIO
>>> def read_csv(file, columns, type_name="Row"):
... try:
... row_type = namedtuple(type_name, columns)
... except ValueError:
... row_type = tuple
... rows = iter(csv.reader(file))
... header = rows.next()
... mapping = [header.index(x) for x in columns]
... for row in rows:
... row = row_type(*[row[i] for i in mapping])
... yield row
...
>>> testdata = """\
... AAA,bbb,ccc,DDD,eee,FFF,GGG,hhh
... 1,2,3,4,50,3,20,4
... 2,1,3,5,24,2,23,5
... 4,1,3,6,34,1,22,5
... 2,1,3,5,24,2,23,5
... 2,1,3,5,24,2,23,5
... """
>>> testfile = StringIO(testdata)
>>> for row in read_csv(testfile, "AAA GGG DDD".split()):
... print row
...
Row(AAA='1', GGG='20', DDD='4')
Row(AAA='2', GGG='23', DDD='5')
Row(AAA='4', GGG='22', DDD='6')
Row(AAA='2', GGG='23', DDD='5')
Row(AAA='2', GGG='23', DDD='5')
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