Python中高效实现文本对比的超全实战教程

a = "今天学习Python文本对比"
b = "今天学习Python文本对比"
c = "今天学习Python教程"

print(a == b) # True
print(a == c) # False

def clean_text(s):
    return s.replace(" ","").lower()

print(clean_text(a) == clean_text(c))

import difflib

text1 = """第一行内容
第二行内容
第三行内容
"""

text2 = """第一行内容
第二行【已修改】
第三行内容
第四行新增内容
"""

# 分割成行
lines1 = text1.splitlines(keepends=True)
lines2 = text2.splitlines(keepends=True)

diff = difflib.Differ()
result = diff.compare(lines1, lines2)

print("".join(list(result)))

import difflib

text1 = """1、Python基础
2、Python爬虫
"""

text2 = """1、Python基础
2、Python数据分析
3、Python人工智能
"""

diff = difflib.HtmlDiff()
html = diff.make_file(
    text1.splitlines(),
    text2.splitlines(),
    fromdesc="旧文本",
    todesc="新文本"
)

with open("diff.html","w",encoding="utf-8") as f:
    f.write(html)

print("对比网页已生成！")

import difflib

s1 = "Python文本对比教程"
s2 = "Python文本比对教程"
s3 = "Java开发教程"

m1 = difflib.SequenceMatcher(None, s1, s2)
m2 = difflib.SequenceMatcher(None, s1, s3)

print("s1-s2 相似度：", round(m1.ratio(),2))
print("s1-s3 相似度：", round(m2.ratio(),2))

pip install fuzzywuzzy python-Levenshtein

from fuzzywuzzy import fuzz

a = "我喜欢Python文本对比"
b = "我非常喜欢Python文本对比技术"

print(fuzz.ratio(a,b))         # 整体相似度
print(fuzz.partial_ratio(a,b)) # 局部匹配
print(fuzz.token_sort_ratio(a,b)) # 无序词语匹配