I have a CSV file which has certain columns which I need to extract. One of those columns is a text string from which I need to extract the first and last items. I have a print statement in a for loop which get exactly what I need but cannot figure out how to either get that data into a list or dict. Not sure which is the best to use.
Code so far:
f1 = open ("report.csv","r") # open input file for reading 
users_dict = {}
with open('out.csv', 'wb') as f: # output csv file
writer = csv.writer(f)
with open('report.csv','r') as csvfile: # input csv file
    reader = csv.DictReader(csvfile, delimiter=',')
    for row in reader:
        print row['User Name'],row['Address'].split(',')[0],row['Last Login DateTime'],row['Address'].split(',')[7]
        users_dict.update(row)
        #users_list.append(row['Address'].split(','))
        #users_list.append(row['Last Login DateTime'])
        #users_list.append(row[5].split(',')[7])
print users_dict
f1.close() 
Input from file:
User Name,Display Name,Login Name,Role,Last Login DateTime,Address,Application,AAA,Exchange,Comment
SUPPORT,SUPPORT,SUPPORT,124,2015-05-29 14:32:26,"Test Company,Bond St,London,London,1111 111,GB,[email protected],IS",,,LSE,
Output on print:
SUPPORT Test Company 2015-05-29 14:32:26 IS
                Using this code, I've got the line you need:
import csv
f1 = open ("report.csv","r") # open input file for reading 
users_dict = {}
with open('out.csv', 'wb') as f: # output csv file
    writer = csv.writer(f)
    with open('report.csv','r') as csvfile: # input csv file
        reader = csv.DictReader(csvfile, delimiter=',')
        for row in reader:
            print row['User Name'],row['Address'].split(',')[0],row['Last Login DateTime'],row['Address'].split(',')[7]
            users_dict.update(row)
            #users_list.append(row['Address'].split(','))
            #users_list.append(row['Last Login DateTime'])
            #users_list.append(row[5].split(',')[7])
    print users_dict
f1.close()
The only changes:
import csv at the top.with open('out.csv' ......
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