DictReader, No quotes, tabbed file

I have a csv file that looks like this: Please note, there are no quotes, a tab (\t) is the delimiter, and there is a blank line between the header and the actual content.

Facility No     Testing No      Name    Age

252     2351    Jackrabbit, Jazz        15
345     257     Aardvark, Ethel 41

I think I've tried nearly every possible combination of ideas and parameters

f = open('/tmp/test', 'r')
csvFile = f.read()
reader = csv.Dict开发者_Go百科Reader(csvFile, delimiter='\t', quoting=csv.QUOTE_NONE)
print reader.fieldnames

the result of the print is:

['F']

How can I get this into something I can parse to put into a database? Getting it into a dictionary would be helpful.

What is your csvFile? Is it a string representing your filename starting with 'F'?

csv.DictReader needs an opened file object, not a filename.

Try:

with open(csvFile, 'rb') as f:
    reader = csv.DictReader(f, delimiter='\t', quoting=csv.QUOTE_NONE)
    print reader.fieldnames

EDIT

If your csvFile is a string containing the whole data, you will have to convert it into a StringIO (because csv can access only file-like objects, not strings).

Try:

from cStringIO import StringIO

# csvFile = 'Facility No\tTesting No\tName\tAge\n\n252\t2351\tJackrabbit, Jazz\t15\n345\t257\tAardvark, Ethel\t41\n'
reader = csv.DictReader(StringIO(csvFile), delimiter='\t', quoting=csv.QUOTE_NONE)
print reader.fieldnames

Or, if your edited question opens and reads a file:

with open('/tmp/test', 'rb') as f:
    reader = csv.DictReader(f, delimiter='\t', quoting=csv.QUOTE_NONE)
    print reader.fieldnames

This works for me.

this might work for you, at least as a start:

>>> import csv
>>> input = open('/tmp/csvtemp.csv')
>>> csvin = csv.reader(input, delimiter='\t')
>>> data = [row for row in csvin]
>>> header = data.pop(0)
>>> data.pop(0)  # skip blank line
[]
>>> for row in data:
...  rowdict = dict(zip(header, row))
...  print rowdict
... 
{'Age': '15', 'Testing No': '2351', 'Name': 'Jackrabbit, Jazz', 'Facility No': '252'}
{'Age': '41', 'Testing No': '257', 'Name': 'Aardvark, Ethel', 'Facility No': '345'}

From the comments I understand that you get your data via urllib2. response is a file-like object; you could pass it directly to csv.DictReader:

response = urllib2.urlopen(URL)
reader = csv.DictReader(response, dialect=csv.excel_tab)