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I am trying to write csv parser so if i have the same name in the name column i will delete the second name's line. For example:

['CSE_MAIN\LC-CSEWS61', 'DEREGISTERED', '2018-04-18-192446'],
['CSE_MAIN\IT-Laptop12', 'DEREGISTERED', '2018-03-28-144236'],
['CSE_MAIN\LC-CSEWS61', 'DEREGISTERED', '2018-03-28-144236']]

I need that the last line will be deleted because it has the same name as the first one.

What i wrote is:

file2 = str(sys.argv[2])
print ("The first file is:" + file2)
reader2 = csv.reader (open(file2))
with open("result2.csv",'wb') as result2:
 wtr2= csv.writer( result2 )
 for r in reader2:
 wtr2.writerow( (r[0], r[6], r[9] ))
newreader2 = csv.reader (open("result2.csv"))
sortedlist2 = sorted(newreader2, key=lambda col: col[2] , reverse = True)
for i in range(len(sortedlist2)):
 for j in range(len(sortedlist2)-1):
 if (sortedlist2[i][0] == sortedlist2[j+1][0] and sortedlist2[i][1]!=sortedlist2[j+1][1]):
 if(sortedlist2[i][1]>sortedlist2[j+1][1]):
 del sortedlist2[i][0-2]
 else:
 del sortedlist2[j+1][0-2]

Thanks.

If you want to use csv module, a dict is probably the easiest bet:

>>> x[0]:x[1:] for x in list(csv.reader(open('bla')))[::-1]
'CSE_MAIN\\LC-CSEWS61': ['DEREGISTERED', '2018-04-18-192446'], 'CSE_MAIN\\IT-Laptop12': ['DEREGISTERED', '2018-03-28-144236']

The need to reverse ([::-1]) is to make sure the first occurrence of a key will be selected, instead of the last. The better but more lines option would probably be:

res = 
for a,b,c in csv.reader(open('bla')):
 if a not in res:
 res[a]=(b,c)

then you have a "clean" dict and no need for two iterations like the one liner.

Try with pandas:

import pandas as pd
df = pd.read_csv('path/name_file.csv')
df = df.drop_duplicates([0]) #0 this is columns which will compare.
df.to_csv('New_file.csv') #save to csv

This method delete all duplicates from columns 1.

If you need simple delete you can use method drop.

#You file after use pandas (print(df)):
 0 1 2
0 CSE_MAINLC-CSEWS61 DEREGISTERED 2018-04-18-192446
1 CSE_MAINIT-Laptop12 DEREGISTERED 2018-03-28-144236
2 CSE_MAINLC-CSEWS61 DEREGISTERED 2018-03-28-144236

For example you need delete 2 row.

df.drop(2,axis=0, inplace=True) #axis=0 means row, if you switch 1 this is columns. 

Output:

 0 1 2
0 CSE_MAINLC-CSEWS61 DEREGISTERED 2018-04-18-192446
1 CSE_MAINIT-Laptop12 DEREGISTERED 2018-03-28-144236