fuzzywyzzy 是python下一个模糊匹配的模块。首先要安装fuzzywuzzy

示例:

 from fuzzywuzzy import fuzz
from fuzzywuzzy import process state_to_code = {"VERMONT": "VT", "GEORGIA": "GA", "IOWA": "IA", "Armed Forces Pacific": "AP", "GUAM": "GU",
"KANSAS": "KS", "FLORIDA": "FL", "AMERICAN SAMOA": "AS", "NORTH CAROLINA": "NC", "HAWAII": "HI",
"NEW YORK": "NY", "CALIFORNIA": "CA", "ALABAMA": "AL", "IDAHO": "ID",
"FEDERATED STATES OF MICRONESIA": "FM",
"Armed Forces Americas": "AA", "DELAWARE": "DE", "ALASKA": "AK", "ILLINOIS": "IL",
"Armed Forces Africa": "AE", "SOUTH DAKOTA": "SD", "CONNECTICUT": "CT", "MONTANA": "MT",
"MASSACHUSETTS": "MA",
"PUERTO RICO": "PR", "Armed Forces Canada": "AE", "NEW HAMPSHIRE": "NH", "MARYLAND": "MD",
"NEW MEXICO": "NM",
"MISSISSIPPI": "MS", "TENNESSEE": "TN", "PALAU": "PW", "COLORADO": "CO",
"Armed Forces Middle East": "AE",
"NEW JERSEY": "NJ", "UTAH": "UT", "MICHIGAN": "MI", "WEST VIRGINIA": "WV", "WASHINGTON": "WA",
"MINNESOTA": "MN", "OREGON": "OR", "VIRGINIA": "VA", "VIRGIN ISLANDS": "VI", "MARSHALL ISLANDS": "MH",
"WYOMING": "WY", "OHIO": "OH", "SOUTH CAROLINA": "SC", "INDIANA": "IN", "NEVADA": "NV",
"LOUISIANA": "LA",
"NORTHERN MARIANA ISLANDS": "MP", "NEBRASKA": "NE", "ARIZONA": "AZ", "WISCONSIN": "WI",
"NORTH DAKOTA": "ND",
"Armed Forces Europe": "AE", "PENNSYLVANIA": "PA", "OKLAHOMA": "OK", "KENTUCKY": "KY",
"RHODE ISLAND": "RI",
"DISTRICT OF COLUMBIA": "DC", "ARKANSAS": "AR", "MISSOURI": "MO", "TEXAS": "TX", "MAINE": "ME"
}
def studyfuzzy():
process.extractOne("Minnesotta", choices=state_to_code.keys())
process.extractOne("Minnesotta", choices=state_to_code.keys(), score_cutoff=80)
process.extractOne("Minnesotta", choices=state_to_code.keys(), score_cutoff=96) state_to_code.keys()
state_to_code.values()
state_to_code.viewkeys()
state_to_code.viewvalues()
state_to_code.viewitems()
process.extractOne("AlaBAMMazzz", choices=state_to_code.keys(), score_cutoff=80)
process.extractOne("AlaBAMMazzz",choices=state_to_code.keys())
In[6]: from fuzzywuzzy import fuzz

In[7]: from fuzzywuzzy import process

In[8]: state_to_code = {"VERMONT": "VT", "GEORGIA": "GA", "IOWA": "IA", "Armed Forces Pacific": "AP", "GUAM": "GU",
"KANSAS": "KS", "FLORIDA": "FL", "AMERICAN SAMOA": "AS", "NORTH CAROLINA": "NC", "HAWAII": "HI",
"NEW YORK": "NY", "CALIFORNIA": "CA", "ALABAMA": "AL", "IDAHO": "ID",
"FEDERATED STATES OF MICRONESIA": "FM",
"Armed Forces Americas": "AA", "DELAWARE": "DE", "ALASKA": "AK", "ILLINOIS": "IL",
"Armed Forces Africa": "AE", "SOUTH DAKOTA": "SD", "CONNECTICUT": "CT", "MONTANA": "MT",
"MASSACHUSETTS": "MA",
"PUERTO RICO": "PR", "Armed Forces Canada": "AE", "NEW HAMPSHIRE": "NH", "MARYLAND": "MD",
"NEW MEXICO": "NM",
"MISSISSIPPI": "MS", "TENNESSEE": "TN", "PALAU": "PW", "COLORADO": "CO",
"Armed Forces Middle East": "AE",
"NEW JERSEY": "NJ", "UTAH": "UT", "MICHIGAN": "MI", "WEST VIRGINIA": "WV", "WASHINGTON": "WA",
"MINNESOTA": "MN", "OREGON": "OR", "VIRGINIA": "VA", "VIRGIN ISLANDS": "VI", "MARSHALL ISLANDS": "MH",
"WYOMING": "WY", "OHIO": "OH", "SOUTH CAROLINA": "SC", "INDIANA": "IN", "NEVADA": "NV",
"LOUISIANA": "LA",
"NORTHERN MARIANA ISLANDS": "MP", "NEBRASKA": "NE", "ARIZONA": "AZ", "WISCONSIN": "WI",
"NORTH DAKOTA": "ND",
"Armed Forces Europe": "AE", "PENNSYLVANIA": "PA", "OKLAHOMA": "OK", "KENTUCKY": "KY",
"RHODE ISLAND": "RI",
"DISTRICT OF COLUMBIA": "DC", "ARKANSAS": "AR", "MISSOURI": "MO", "TEXAS": "TX", "MAINE": "ME"
}
Out[19]: ('MINNESOTA', 95)
In[20]: process.extractOne("Minnesotta", choices=state_to_code.keys(), score_cutoff=80) Out[20]: ('MINNESOTA', 95)
In[21]: process.extractOne("Minnesotta", choices=state_to_code.keys(), score_cutoff=96) In[22]: process.extractOne("AlaBAMMazzz", choices=state_to_code.keys(), score_cutoff=80) In[23]: process.extractOne("AlaBAMMazzz",choices=state_to_code.keys()) Out[23]: ('ALABAMA', 78)

python模糊匹配之fuzzywuzzy的更多相关文章

  1. 简单易用的字符串模糊匹配库Fuzzywuzzy

    简单易用的字符串模糊匹配库Fuzzywuzzy 阅读目录 FuzzyWuzzy 简介 安装 用法 已知移植 FuzzyWuzzy 简介 FuzzyWuzzy 是一个简单易用的模糊字符串匹配工具包.它依 ...

  2. python中RabbitMQ的使用(路由键模糊匹配)

    路由键模糊匹配 使用正则表达式进行匹配.其中“#”表示所有.全部的意思:“*”只匹配到一个词. 匹配规则: 路由键:routings = [ 'happy.work',  'happy.life' , ...

  3. python+selenium十四:xpath和contains模糊匹配

    xpath可以以标签定位,也可以@任意属性: 如:以input标签定位:driver.find_element_by_xpath("//input[@id='kw']") 如:@t ...

  4. 转:使用Mongo Connector和Elasticsearch实现模糊匹配

    原文来自于:http://www.csdn.net/article/2014-09-01/2821485-how-to-perform-fuzzy-matching-with-mongo-connec ...

  5. 1035-Spell checker(模糊匹配)

    一,题意: 给出一组字典的单词,以'#'结束,之后给出一组要执行模糊匹配的单词序列,以'#'结束 1,若某个单词能在字典中找到,则输出corret 2,若某个单词能通过 变换 或 删除 或 添加一个字 ...

  6. sql模糊匹配中%、_的处理

    防sql注入之模糊匹配中%._处理: StringBuilder sbSql = new StringBuilder(); sbSql.Append(@"SELECT * from tabl ...

  7. 记一个同时支持模糊匹配和静态推导的Atom语法补全插件的开发过程: 序

    简介 过去的一周,都睡的很晚,终于做出了Atom上的APICloud语法提示与补全插件:apicloud_autocomplete.个中滋味,感觉还是有必要记录下来的.代码基于 GPL-3.0 开源, ...

  8. 茗洋Easy UI 1.3.2 部分问题解决系列专题[Combo模糊匹配中文问题 修复]

    本次给大家带来的EasyUI的我研究拓展的新特性 我使用的是  EasyUI 1.3.2版本的,项目是ASP.NET MVC3,但是本篇讲解用不上ASP.NET MVC,仅仅修改官方Demo你就知道怎 ...

  9. Mysql 模糊匹配和转义字符

    首先创建一个测试表: insert into test(tt) values('\\\\172.18.28.153'); 现在我想使用模糊匹配,查出以 “\\172” 开头的字符串. 需要使用like ...

随机推荐

  1. SetViewportOrgEx(视口) 与 SetWindowOrgEx(窗口) 解析

    SetViewportOrgEx (hdc,x/2,y/2) 视口中心点设置到窗口中心 获取客户群x和y,x/2,y/2 ,这样中心点就到窗口中间了. SetWindowOrgEx(hdc,-x/2, ...

  2. mysql主从同步异常原因及恢复

    mysql主从同步异常原因及恢复 前言 mysql数据库做主从复制,不仅可以为数据库的数据做实时备份,保证数据的完整性,还能做为读写分离,提升数据库的整体性能.但是,mysql主从复制经常会因为某些原 ...

  3. Python添加自己的模块路径

    进入Python编辑环境后可以,通过Python的sys.path属性获得当前搜索路径的配置,可以看到之前我们设置的路径已经在当前搜索路径中了. 然后通过sys.path.append('F:\Pyt ...

  4. Hello!六月

    把这里当做记事本应该没人介意吧: 太忙了!六月! ACM: 背包九讲

  5. dotnetty源码解读一些要点

    DefaultAttributeMap 它绑定在Channel或者ChannelHandlerContext上的一个附件. ChannelHandlerContext都是ChannelHandler和 ...

  6. Python的数据类型:list和tuple

    今天开始认真的学习python. 1.list类型 list是python的一种数据类型,它是一种有序列表,可以随时添加和删除其中的元素. 1.1 list类型的特征 list类型内的成员类型可以相同 ...

  7. JMeter(十三)进行简单的数据库(mysql)压力测试

    1.点击测试计划,再点击“浏览”,把JDBC驱动添加进来: 注:JDBC驱动一般的位置在java的安装地址下,路径类似于:    \java\jre\lib\ext 文件为:mysql-connect ...

  8. android开发学习--网络请求框架RxJava+Retrofit

    看了好多的博客,终于弄清楚了Rxjava和Retrofit,给大家推荐几个不错的文章: https://gank.io/post/56e80c2c677659311bed9841 这个文章是只用Ret ...

  9. Docker Java+Tomcat 环境搭建

    软件环境:jdk.tomcat.docker.centos.虚拟机 首先,您要准备一个 CentOS 的操作系统,虚拟机也行.总之,可以通过 Linux 客户端工具访问到 CentOS 操作系统就行. ...

  10. Echarts生成饼状图、条形图以及线形图 JS封装

    1.在我们开发程序中,经常会用到生成一些报表,比方说饼状图,条形图,折线图等.不多说了,直接上封装好的代码,如下Echarts.js所示 以下代码是封装在Echarts.js文件中 /** * Cre ...