I currently have a csv that looks like this

```
Category, Item, Price, ID, New Item?
Pants,Velvet Trouser,$16800,173778,False
Pants,Tartan Flannel Skate Pant,$12800,173800,False
Pants,Studded Collars Sweatpant,$15800,173764,False
Pants,Studded Work Pant,$14800,173518,False
Pants,Regular Jean,$14800,173505,False
Pants,Rigid Slim Jean,$15800,173493,False
Pants,Stone Washed Slim Jean,$16800,173502,False
Pants,Stone Washed Black Slim Jean,$14800,173469,False
Skate,Supreme®/Spitfire® Classic Wheels (Set of 4),$3000,173533,False
Skate,Supreme®/Independent® Truck,$5000,173491,False
Skate,Pills Skateboard,$5000,173833,False
Accessories,Supreme®/Mortal Kombat by Arcade1UP,$69800,173854,True
Accessories,Christmas Stocking,$8800,173845,True

```

I need to adjust the price column and either truncate the last two zeros, or preferably add a decimal point in before the last two zeros. I cannot figure out how to do this at all.

I tried to do something like this, but it didn't take.

```
# g = csv.reader(open('Supreme_Items.csv', 'rb'))
# writer = csv.writer(open("SupremeItems.csv", 'wb'))
# for row in r:
#     row[2] = len(str(row[2])) - 2
#     # row[2] = row[2] + ".00"
#     writer.writerow(row)

```

I should mention that I created this CSV from a JSON, in case that matters.