Is it possible to keep the column order using csv.DictReader?

Question

For example, my csv has columns as below:

ID, ID2, Date, Job No, Code 

I need to write the columns back in the same order. The dict jumbles the order immediately, so I believe it's more of a problem with the reader.

Answer 1

Python's dicts do NOT maintain order prior to 3.6 (but, regardless, in that version the csv.DictReader class was modified to return OrderedDicts).

However, the instance of csv.DictReader that you're using (after you've read the first row!-) does have a .fieldnames list of strings, which IS in order.

So,

for rowdict in myReader:   print ['%s:%s' % (f, rowdict[f]) for f in myReader.fieldnames] 

will show you that the order is indeed maintained (in .fieldnames of course, NEVER in the dict -- that's intrinsically impossible in Python!-).

So, suppose you want to read a.csv and write b.csv with the same column order. Using plain reader and writer is too easy, so you want to use the Dict varieties instead;-). Well, one way is...:

import csv  a = open('a.csv', 'r') b = open('b.csv', 'w') ra = csv.DictReader(a) wb = csv.DictWriter(b, None)  for d in ra:    if wb.fieldnames is None:     # initialize and write b's headers     dh = dict((h, h) for h in ra.fieldnames)     wb.fieldnames = ra.fieldnames     wb.writerow(dh)    wb.writerow(d)  b.close() a.close() 

assuming you have headers in a.csv (otherewise you can't use a DictReader on it) and want just the same headers in b.csv.