Question

我有一个像这样的csv文件：

column1    column2

john       kerry
adam       stephenson
ashley     hudson
john       kerry
etc..

我想从此文件中删除重复项，仅获取：

column1    column2

john       kerry
adam       stephenson
ashley     hudson

我写了这个脚本，删除了基于姓氏的重复项，但我需要删除基于姓氏和名字的重复项。

import csv

reader=csv.reader(open('myfilewithduplicates.csv', 'r'), delimiter=',')
writer=csv.writer(open('myfilewithoutduplicates.csv', 'w'), delimiter=',')

lastnames = set()
for row in reader:
    if row[1] not in lastnames:
        writer.writerow(row)
        lastnames.add( row[1] )

Answer 1

你真的很亲密。将这些列用作设置条目

entries = set()

for row in reader:
   key = (row[0], row[1]) # instead of just the last name

   if key not in entries:
      writer.writerow(row)
      entries.add(key)

Answer 2

您现在可以在pandas中使用.drop_duplicates方法。我会做以下事情：

import pandas as pd
toclean = pd.read_csv('myfilewithduplicates.csv')
deduped = toclean.drop_duplicates([col1,col2])
deduped.to_csv('myfilewithoutduplicates.csv')

Answer 3

快速的方法是使用以下技术创建一组唯一的行（从this帖子中的@CedricJulien采用）。您失去了在每行中存储列名称的DictWriter好处，但它适用于您的情况：

>>> import csv
>>> with open('testcsv1.csv', 'r') as f:
...   reader = csv.reader(f)
...   uniq = [list(tup) for tup in set([tuple(row) for row in reader])]
...
>>> with open('nodupes.csv', 'w') as f:
...   writer=csv.writer(f)
...   for row in uniq:
...     writer.writerow(row)

这使用@CedricJulien使用的相同技术，这是一个很好的单行删除重复行（定义为相同的名和姓）。这使用DictReader / DictWriter类：

>>> import csv
>>> with open('testcsv1.csv', 'r') as f:
...   reader = csv.DictReader(f)
...   rows = [row for row in reader]
...
>>> uniq = [dict(tup) for tup in set(tuple(person.items()) for person in rows)]
>>> with open('nodupes.csv', 'w') as f:
...   headers = ['column1', 'column2']
...   writer = csv.DictWriter(f, fieldnames=headers)
...   writer.writerow(dict((h, h) for h in headers))

...   for row in uniq:
...     writer.writerow(row)
...

如何根据两列删除csv文件中的重复项？

3 个答案: