how to remove duplication from a CSVfile by making some checks?












4














I have a CSV like:



col-1(ID)       col-2(val-List)

1 [1]
1 [1,2,3]
2 [1,2]
2 [1]
3 [10]
3 [10]


and I want to remove duplicate from this file and at the end, I just need a single row which has greater list length, like:



edited:



I want to keep a single row if there are those rows which have the same ID and same length of the inner list.



col-1(ID)       col-2(Val-List)

1 [1,2,3]
2 [1,2]
3 [10]


I tried a lot but no luck:
I'm giving try by using CSV module but do not have an idea that how should I maintain the length of previous Val-List and compare with next matching ID.



import csv 
list_1 =
with open('test123.csv', 'r', encoding='latin-1') as file:
csvReader = csv.reader(file, delimiter=',')

for row in csvReader:
key = (row[0])
# but how should I use this id to get my desired results?









share|improve this question
























  • Are you sure you want ',' as delimiter? This way it splits also on the commas which are inside your col-2(val-List)
    – arudzinska
    Nov 19 '18 at 16:36










  • Yeah, comma delimiter. I tried by checking the inside list which is Val-list. so far it's good to go.
    – GigaByte
    Nov 19 '18 at 16:45
















4














I have a CSV like:



col-1(ID)       col-2(val-List)

1 [1]
1 [1,2,3]
2 [1,2]
2 [1]
3 [10]
3 [10]


and I want to remove duplicate from this file and at the end, I just need a single row which has greater list length, like:



edited:



I want to keep a single row if there are those rows which have the same ID and same length of the inner list.



col-1(ID)       col-2(Val-List)

1 [1,2,3]
2 [1,2]
3 [10]


I tried a lot but no luck:
I'm giving try by using CSV module but do not have an idea that how should I maintain the length of previous Val-List and compare with next matching ID.



import csv 
list_1 =
with open('test123.csv', 'r', encoding='latin-1') as file:
csvReader = csv.reader(file, delimiter=',')

for row in csvReader:
key = (row[0])
# but how should I use this id to get my desired results?









share|improve this question
























  • Are you sure you want ',' as delimiter? This way it splits also on the commas which are inside your col-2(val-List)
    – arudzinska
    Nov 19 '18 at 16:36










  • Yeah, comma delimiter. I tried by checking the inside list which is Val-list. so far it's good to go.
    – GigaByte
    Nov 19 '18 at 16:45














4












4








4







I have a CSV like:



col-1(ID)       col-2(val-List)

1 [1]
1 [1,2,3]
2 [1,2]
2 [1]
3 [10]
3 [10]


and I want to remove duplicate from this file and at the end, I just need a single row which has greater list length, like:



edited:



I want to keep a single row if there are those rows which have the same ID and same length of the inner list.



col-1(ID)       col-2(Val-List)

1 [1,2,3]
2 [1,2]
3 [10]


I tried a lot but no luck:
I'm giving try by using CSV module but do not have an idea that how should I maintain the length of previous Val-List and compare with next matching ID.



import csv 
list_1 =
with open('test123.csv', 'r', encoding='latin-1') as file:
csvReader = csv.reader(file, delimiter=',')

for row in csvReader:
key = (row[0])
# but how should I use this id to get my desired results?









share|improve this question















I have a CSV like:



col-1(ID)       col-2(val-List)

1 [1]
1 [1,2,3]
2 [1,2]
2 [1]
3 [10]
3 [10]


and I want to remove duplicate from this file and at the end, I just need a single row which has greater list length, like:



edited:



I want to keep a single row if there are those rows which have the same ID and same length of the inner list.



col-1(ID)       col-2(Val-List)

1 [1,2,3]
2 [1,2]
3 [10]


I tried a lot but no luck:
I'm giving try by using CSV module but do not have an idea that how should I maintain the length of previous Val-List and compare with next matching ID.



import csv 
list_1 =
with open('test123.csv', 'r', encoding='latin-1') as file:
csvReader = csv.reader(file, delimiter=',')

for row in csvReader:
key = (row[0])
# but how should I use this id to get my desired results?






python






share|improve this question















share|improve this question













share|improve this question




share|improve this question








edited Nov 21 '18 at 10:34

























asked Nov 19 '18 at 16:20









GigaByte

13911




13911












  • Are you sure you want ',' as delimiter? This way it splits also on the commas which are inside your col-2(val-List)
    – arudzinska
    Nov 19 '18 at 16:36










  • Yeah, comma delimiter. I tried by checking the inside list which is Val-list. so far it's good to go.
    – GigaByte
    Nov 19 '18 at 16:45


















  • Are you sure you want ',' as delimiter? This way it splits also on the commas which are inside your col-2(val-List)
    – arudzinska
    Nov 19 '18 at 16:36










  • Yeah, comma delimiter. I tried by checking the inside list which is Val-list. so far it's good to go.
    – GigaByte
    Nov 19 '18 at 16:45
















Are you sure you want ',' as delimiter? This way it splits also on the commas which are inside your col-2(val-List)
– arudzinska
Nov 19 '18 at 16:36




Are you sure you want ',' as delimiter? This way it splits also on the commas which are inside your col-2(val-List)
– arudzinska
Nov 19 '18 at 16:36












Yeah, comma delimiter. I tried by checking the inside list which is Val-list. so far it's good to go.
– GigaByte
Nov 19 '18 at 16:45




Yeah, comma delimiter. I tried by checking the inside list which is Val-list. so far it's good to go.
– GigaByte
Nov 19 '18 at 16:45












1 Answer
1






active

oldest

votes


















3














Why not let pandas do the work?



import pandas

# Read in the CSV
df = pandas.read_csv('test123.csv', encoding='latin-1')

# Compute the list lengths
df['lst_len'] = df['col-2(val-List)'].map(lambda x: len(list(x)))

# Sort in reverse order by list lengths
df = df.sort_values('lst_len', ascending=False)

# Drop duplicates, preserving first (longest) list by ID
df = df.drop_duplicates(subset='col-1(ID)')

# Remove extra column that we introduced, write to file
df = df.drop('lst_len', axis=1)
df.to_csv('clean_test123.csv', index=False)





share|improve this answer























  • Are you sure this performs the logic to keep only the row that has the longest col-2(Val-List)? As I understood this is what OP wants.
    – arudzinska
    Nov 19 '18 at 16:41












  • yeah I want to keep the row which has longest col-2(Val-List)
    – GigaByte
    Nov 19 '18 at 16:46










  • Understood and edited accordingly.
    – rvd
    Nov 19 '18 at 16:50










  • I tried this and its working but now having one exception which i haven't explained above.
    – GigaByte
    Nov 19 '18 at 17:00










  • can you please check the edit and suggest me a solution in above script?
    – GigaByte
    Nov 19 '18 at 17:08











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1 Answer
1






active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes









3














Why not let pandas do the work?



import pandas

# Read in the CSV
df = pandas.read_csv('test123.csv', encoding='latin-1')

# Compute the list lengths
df['lst_len'] = df['col-2(val-List)'].map(lambda x: len(list(x)))

# Sort in reverse order by list lengths
df = df.sort_values('lst_len', ascending=False)

# Drop duplicates, preserving first (longest) list by ID
df = df.drop_duplicates(subset='col-1(ID)')

# Remove extra column that we introduced, write to file
df = df.drop('lst_len', axis=1)
df.to_csv('clean_test123.csv', index=False)





share|improve this answer























  • Are you sure this performs the logic to keep only the row that has the longest col-2(Val-List)? As I understood this is what OP wants.
    – arudzinska
    Nov 19 '18 at 16:41












  • yeah I want to keep the row which has longest col-2(Val-List)
    – GigaByte
    Nov 19 '18 at 16:46










  • Understood and edited accordingly.
    – rvd
    Nov 19 '18 at 16:50










  • I tried this and its working but now having one exception which i haven't explained above.
    – GigaByte
    Nov 19 '18 at 17:00










  • can you please check the edit and suggest me a solution in above script?
    – GigaByte
    Nov 19 '18 at 17:08
















3














Why not let pandas do the work?



import pandas

# Read in the CSV
df = pandas.read_csv('test123.csv', encoding='latin-1')

# Compute the list lengths
df['lst_len'] = df['col-2(val-List)'].map(lambda x: len(list(x)))

# Sort in reverse order by list lengths
df = df.sort_values('lst_len', ascending=False)

# Drop duplicates, preserving first (longest) list by ID
df = df.drop_duplicates(subset='col-1(ID)')

# Remove extra column that we introduced, write to file
df = df.drop('lst_len', axis=1)
df.to_csv('clean_test123.csv', index=False)





share|improve this answer























  • Are you sure this performs the logic to keep only the row that has the longest col-2(Val-List)? As I understood this is what OP wants.
    – arudzinska
    Nov 19 '18 at 16:41












  • yeah I want to keep the row which has longest col-2(Val-List)
    – GigaByte
    Nov 19 '18 at 16:46










  • Understood and edited accordingly.
    – rvd
    Nov 19 '18 at 16:50










  • I tried this and its working but now having one exception which i haven't explained above.
    – GigaByte
    Nov 19 '18 at 17:00










  • can you please check the edit and suggest me a solution in above script?
    – GigaByte
    Nov 19 '18 at 17:08














3












3








3






Why not let pandas do the work?



import pandas

# Read in the CSV
df = pandas.read_csv('test123.csv', encoding='latin-1')

# Compute the list lengths
df['lst_len'] = df['col-2(val-List)'].map(lambda x: len(list(x)))

# Sort in reverse order by list lengths
df = df.sort_values('lst_len', ascending=False)

# Drop duplicates, preserving first (longest) list by ID
df = df.drop_duplicates(subset='col-1(ID)')

# Remove extra column that we introduced, write to file
df = df.drop('lst_len', axis=1)
df.to_csv('clean_test123.csv', index=False)





share|improve this answer














Why not let pandas do the work?



import pandas

# Read in the CSV
df = pandas.read_csv('test123.csv', encoding='latin-1')

# Compute the list lengths
df['lst_len'] = df['col-2(val-List)'].map(lambda x: len(list(x)))

# Sort in reverse order by list lengths
df = df.sort_values('lst_len', ascending=False)

# Drop duplicates, preserving first (longest) list by ID
df = df.drop_duplicates(subset='col-1(ID)')

# Remove extra column that we introduced, write to file
df = df.drop('lst_len', axis=1)
df.to_csv('clean_test123.csv', index=False)






share|improve this answer














share|improve this answer



share|improve this answer








edited Nov 19 '18 at 16:50

























answered Nov 19 '18 at 16:24









rvd

43117




43117












  • Are you sure this performs the logic to keep only the row that has the longest col-2(Val-List)? As I understood this is what OP wants.
    – arudzinska
    Nov 19 '18 at 16:41












  • yeah I want to keep the row which has longest col-2(Val-List)
    – GigaByte
    Nov 19 '18 at 16:46










  • Understood and edited accordingly.
    – rvd
    Nov 19 '18 at 16:50










  • I tried this and its working but now having one exception which i haven't explained above.
    – GigaByte
    Nov 19 '18 at 17:00










  • can you please check the edit and suggest me a solution in above script?
    – GigaByte
    Nov 19 '18 at 17:08


















  • Are you sure this performs the logic to keep only the row that has the longest col-2(Val-List)? As I understood this is what OP wants.
    – arudzinska
    Nov 19 '18 at 16:41












  • yeah I want to keep the row which has longest col-2(Val-List)
    – GigaByte
    Nov 19 '18 at 16:46










  • Understood and edited accordingly.
    – rvd
    Nov 19 '18 at 16:50










  • I tried this and its working but now having one exception which i haven't explained above.
    – GigaByte
    Nov 19 '18 at 17:00










  • can you please check the edit and suggest me a solution in above script?
    – GigaByte
    Nov 19 '18 at 17:08
















Are you sure this performs the logic to keep only the row that has the longest col-2(Val-List)? As I understood this is what OP wants.
– arudzinska
Nov 19 '18 at 16:41






Are you sure this performs the logic to keep only the row that has the longest col-2(Val-List)? As I understood this is what OP wants.
– arudzinska
Nov 19 '18 at 16:41














yeah I want to keep the row which has longest col-2(Val-List)
– GigaByte
Nov 19 '18 at 16:46




yeah I want to keep the row which has longest col-2(Val-List)
– GigaByte
Nov 19 '18 at 16:46












Understood and edited accordingly.
– rvd
Nov 19 '18 at 16:50




Understood and edited accordingly.
– rvd
Nov 19 '18 at 16:50












I tried this and its working but now having one exception which i haven't explained above.
– GigaByte
Nov 19 '18 at 17:00




I tried this and its working but now having one exception which i haven't explained above.
– GigaByte
Nov 19 '18 at 17:00












can you please check the edit and suggest me a solution in above script?
– GigaByte
Nov 19 '18 at 17:08




can you please check the edit and suggest me a solution in above script?
– GigaByte
Nov 19 '18 at 17:08


















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