我有2个文本文件,我的目标是找到文件First.txt中不在Second.txt中的行,并将所述行输出到第三个文本文件Missing.txt,我完成了:
fn = "Missing.txt"
try:
fileOutPut = open(fn, 'w')
except IOError:
fileOutPut = open(fn, 'w')
fileOutPut.truncate()
filePrimary = open('First.txt', 'r', encoding='utf-8', errors='ignore')
fileSecondary = open('Second.txt', 'r', encoding='utf-8', errors='ignore')
bLines = set([thing.strip() for thing in fileSecondary.readlines()])
for line in filePrimary:
line = line.strip()
if line in bLines:
continue
else:
fileOutPut.write(line)
fileOutPut.write('\n')
fileOutPut.close()
filePrimary.close()
fileSecondary.close()
但是在运行脚本之后我遇到了问题,有些行非常相似,例如:
[PR] Zero One Two Three ft Four
和(括号后面没有空格)
[PR]Zero One Two Three ft Four
或
[PR] Zero One Two Three ft Four
和(大写F字母)
[PR] Zero One Two Three Ft Four
我找到了SequenceMatcher,它可以满足我的要求,但我如何在比较中实现这一点,因为它们不仅仅是两个字符串,而是一个字符串和一个集合
答案 0 :(得分:0)
IIUC,即使空格或大小写不同,也要匹配行。
执行此操作的一种简单方法是删除空格,并在阅读中将所有内容都设为相同的情况:
import re
def format_line(line):
return re.sub("\s+", "", line.strip()).lower()
filePrimary = open('First.txt', 'r', encoding='utf-8', errors='ignore')
fileSecondary = open('Second.txt', 'r', encoding='utf-8', errors='ignore')
bLines = set([format_line(thing) for thing in fileSecondary.readlines()])
for line in filePrimary:
fline = format_line(line)
if fline in bLines:
continue
else:
fileOutPut.write(line + '\n')
更新1 :模糊匹配
如果您想模糊匹配,可以执行nltk.metrics.distance.edit_distance
(docs)之类的操作
但你无法将每一行与每一行进行比较(最坏的情况)。你失去了in
操作的速度。
例如
from nltk.metrics.distance import edit_distance as dist
threshold = 3 # the maximum number of edits between lines
for line in filePrimary:
fline = format_line(line)
match_found = any([dist(fline, other_line) < threshold for other_line in bLines])
if not match_found:
fileOutPut.write(line + '\n')