python - 如何使用csv.DictReader跳过前标题行？

我想从文件中推断字段名。The docs说“如果省略fieldname参数，csvfile的第一行中的值将用作fieldname。”，但在我的例子中，第一行包含标题，第二行包含名称。
我不能按照Python 3.2 skip a line in csv.DictReader应用csv.DictReader，因为在初始化读卡器（或者我做错了）时会发生字段名分配。
csvfile（从Excel 2010导出，original source）：

CanVec v1.1.0,,,,,,,,,^M
Entity,Attributes combination,"Specification Code
Point","Specification Code
Line","Specification Code
Area",Generic Code,Theme,"GML - Entity name
Shape - File name
Point","GML - Entity name
Shape - File name
Line","GML - Entity name
Shape - File name
Area"^M
Amusement park,Amusement park,,,2260012,2260009,LX,,,LX_2260009_2^M
Auto wrecker,Auto wrecker,,,2360012,2360009,IC,,,IC_2360009_2^M

我的代码：

f = open(entities_table,'rb')
try:
    dialect = csv.Sniffer().sniff(f.read(1024))
    f.seek(0)

    reader = csv.DictReader(f, dialect=dialect)
    print 'I think the field names are:\n%s\n' % (reader.fieldnames)

    i = 0
    for row in reader:
        if i < 20:
            print row
            i = i + 1

finally:
    f.close()

当前结果：

I think the field names are:
['CanVec v1.1.0', '', '', '', '', '', '', '', '', '']

预期结果：

I think the field names are:
['Entity','Attributes combination','"Specification Code Point"',...snip]

我意识到简单地删除第一行并继续下去是有利的，但是我正在尽可能地接近于只在原位读取数据，并尽量减少手动干预。

最佳答案

我用的是来自伊特托尔斯的伊斯莱斯。我的头在一个大序言的最后一行。我已经通过了序言，并将hederline用于字段名：

with open(file, "r") as f:
    '''Pass preamble'''
    n = 0
    for line in f.readlines():
        n += 1
        if 'same_field_name' in line: # line with field names was found
            h = line.split(',')
            break
    f.close()
    f = islice(open(i, "r"), n, None)

    reader = csv.DictReader(f, fieldnames = h)