extracting duplicates from CSV file by specific fields

[VP]

Thanks guys!
Tested, seems working.

CSV file:
---------
"a.a","sn-01"
"b.b","sn-02"
"c.c","sn-03"
"d.d","sn-04"
"e.e","sn-05"
"f.f","sn-06"
"g.g","sn-07"
"h.h","sn-08"
"i.i","sn-09"
"a.a","sn-10"
"k.k","sn-02"
"i.i","sn-09"


Source:
---------
#!/usr/bin/env python
import csv

unqs = []
dups = []

seen_in_field0 = set()
seen_in_field1 = set()

reader = csv.reader(open("myfile.csv", "rb"))

print "\nOriginals:\n"

for row in reader:
    print row

    if row[0] in seen_in_field0 or row[1] in seen_in_field1:
        dups.append(row)
    else:
        seen_in_field0.add(row[0])
        seen_in_field1.add(row[1])
        unqs.append(row)

print "\nUniques:\n"

for row in unqs:
    print row

print "\nDuplicates:\n"

for row in dups:
    print row

print "\n"



Result:
---------

Originals:

['a.a', 'sn-01']
['b.b', 'sn-02']
['c.c', 'sn-03']
['d.d', 'sn-04']
['e.e', 'sn-05']
['f.f', 'sn-06']
['g.g', 'sn-07']
['h.h', 'sn-08']
['i.i', 'sn-09']
['a.a', 'sn-10']
['k.k', 'sn-02']
['i.i', 'sn-09']

Uniques:

['a.a', 'sn-01']
['b.b', 'sn-02']
['c.c', 'sn-03']
['d.d', 'sn-04']
['e.e', 'sn-05']
['f.f', 'sn-06']
['g.g', 'sn-07']
['h.h', 'sn-08']
['i.i', 'sn-09']

Duplicates:

['a.a', 'sn-10']
['k.k', 'sn-02']
['i.i', 'sn-09']