I have several CSV files that look like this:
Input
Name Code
blackberry 1
wineberry 2
rasberry 1
blueberry 1
mulberry 2
I would like to add a new column to all CSV files so that it would look like this:
Output
Name Code Berry
blackberry 1 blackberry
wineberry 2 wineberry
rasberry 1 rasberry
blueberry 1 blueberry
mulberry 2 mulberry
The script I have so far is this:
import csv
with open(input.csv,'r') as csvinput:
with open(output.csv, 'w') as csvoutput:
writer = csv.writer(csvoutput)
for row in csv.reader(csvinput):
writer.writerow(row+['Berry'])
(Python 3.2)
But in the output, the script skips every line and the new column has only Berry in it:
Output
Name Code Berry
blackberry 1 Berry
wineberry 2 Berry
rasberry 1 Berry
blueberry 1 Berry
mulberry 2 Berry
This should give you an idea of what to do:
>>> v = open('C:/test/test.csv')
>>> r = csv.reader(v)
>>> row0 = r.next()
>>> row0.append('berry')
>>> print row0
['Name', 'Code', 'berry']
>>> for item in r:
... item.append(item[0])
... print item
...
['blackberry', '1', 'blackberry']
['wineberry', '2', 'wineberry']
['rasberry', '1', 'rasberry']
['blueberry', '1', 'blueberry']
['mulberry', '2', 'mulberry']
>>>
Edit, note in py3k you must use next(r)
Thanks for accepting the answer. Here you have a bonus (your working script):
import csv
with open('C:/test/test.csv','r') as csvinput:
with open('C:/test/output.csv', 'w') as csvoutput:
writer = csv.writer(csvoutput, lineterminator='\n')
reader = csv.reader(csvinput)
all = []
row = next(reader)
row.append('Berry')
all.append(row)
for row in reader:
row.append(row[0])
all.append(row)
writer.writerows(all)
Please note
lineterminator
parameter in csv.writer
. By default it is
set to '\r\n'
and this is why you have double spacing.writerows
. If your file is very, very big this
probably is not a good idea (RAM) but for normal files I think it is
faster because there is less I/O.As indicated in the comments to this post, note that instead of
nesting the two with
statements, you can do it in the same line:
with open('C:/test/test.csv','r') as csvinput, open('C:/test/output.csv', 'w') as csvoutput: