I'm trying to parse through a csv file and extract the data from only specific columns.
Example csv:
ID | Name | Address | City | State | Zip | Phone | OPEID | IPEDS |
10 | C... | 130 W.. | Mo.. | AL... | 3.. | 334.. | 01023 | 10063 |
I'm trying to capture only specific columns, say ID
, Name
, Zip
and Phone
.
Code I've looked at has led me to believe I can call the specific column by its corresponding number, so ie: Name
would correspond to 2
and iterating through each row using row[2]
would produce all the items in column 2. Only it doesn't.
Here's what I've done so far:
import sys, argparse, csv
from settings import *
# command arguments
parser = argparse.ArgumentParser(description='csv to postgres',\
fromfile_prefix_chars="@" )
parser.add_argument('file', help='csv file to import', action='store')
args = parser.parse_args()
csv_file = args.file
# open csv file
with open(csv_file, 'rb') as csvfile:
# get number of columns
for line in csvfile.readlines():
array = line.split(',')
first_item = array[0]
num_columns = len(array)
csvfile.seek(0)
reader = csv.reader(csvfile, delimiter=' ')
included_cols = [1, 2, 6, 7]
for row in reader:
content = list(row[i] for i in included_cols)
print content
and I'm expecting that this will print out only the specific columns I want for each row except it doesn't, I get the last column only.
'rb'
flag toopen()
? shouldn't it be simpler
? – Elazar"rb"
is appropriate for passing tocsv.reader
. – DSM