python实现按首字母分类查找功能

yipeiwu_com6年前Python基础

本文实例为大家分享了python实现按首字母分类查找的具体代码,供大家参考,具体内容如下

要求:

1.自己查找一些英文词汇,存储到某个容器类中
2.根据英文词汇的首字母进行分类,类似于手机通讯簿中的快速查找功能
3.根据用户输入的字母,找到该字母开头的所有单词

#coding=utf-8
lexicons=["the","be","of","and","A","to","in","he","have","it","that","for","they","I","with","as","not","on","she","at","by","this","we","you","do","but","from","or","which","one","would","all","will","there","say","who","make","when","can"]
while True:
 startLetter=raw_input("输入一个字母,列出所有以此字母开头的单词:")
 if len(startLetter)!=1:
 print "必须是一个字母"
 else:
 reLexicons=[] #结果列表
 for x in xrange(len(lexicons)):
  lexicon=lexicons[x]
  if lexicon[0].lower()==startLetter.lower():#都转为小写后比较 开头字母不区分大小写
  reLexicons.append(lexicon)
 if len(reLexicons)==0:
  print "没有结果"
 else:
  for x in xrange(len(reLexicons)):
  print reLexicons[x]

上面的代码没有走第二步,如下代码 使用字典解决第二步

#coding=utf-8
'''
边遍历,边构造 key value 
'''
lexicons=["the","be","of","and","A","to","in","he","have","it","that","for","they","I","with","as","not","on","she","at","by","this","we","you","do","but","from","or","which","one","would","all","will","there","say","who","make","when","can"]
lexiconDict={}
#分类 保存字典中
lexiconLen=len(lexicons)
for x in xrange(len(lexicons)):
 lexicon=lexicons[x]
 startLetter=lexicon[0]
 dictLexicons=lexiconDict.get(startLetter,[])
  #空列表说明没有Key 则添加Key 否则追加Key对应的Value
 if len(dictLexicons)==0:
 lexiconDict[startLetter]=[lexicons[x]]
 else:
 dictLexicons.append(lexicons[x])
while True:
 startLetter=raw_input("输入一个字母,列出所有以此字母开头的单词:")
 if len(startLetter)!=1:
 print "必须是一个字母"
 else:
 lexicons=lexiconDict.get(startLetter.lower(),[])
 if len(lexicons)==0:
  print "没有结果"
 else:
  for x in lexicons:
  print x

以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持【听图阁-专注于Python设计】。

相关文章

python networkx 根据图的权重画图实现

python networkx 根据图的权重画图实现

首先输入边和边的权重,随后画出节点位置,根据权重大小划分实边和虚边 #coding:utf-8 #!/usr/bin/env python """ An example using...

如何基于Python实现电子邮件的发送

如何基于Python实现电子邮件的发送

这篇文章主要介绍了如何基于Python实现电子邮件的发送,文中通过示例代码介绍的非常详细,对大家的学习或者工作具有一定的参考学习价值,需要的朋友可以参考下 利用Python smtpli...

python 实现识别图片上的数字

python 实现识别图片上的数字

Python 3.6 版本 Pytesseract 图像验证码识别 环境: (1) win7 64位 (2) Idea (3) python 3.6 (4) pip install pi...

深入理解python中的select模块

简介 Python中的select模块专注于I/O多路复用,提供了select  poll  epoll三个方法(其中后两个在Linux中可用,windows仅支持s...

python PyTorch预训练示例

前言 最近使用PyTorch感觉妙不可言,有种当初使用Keras的快感,而且速度还不慢。各种设计直接简洁,方便研究,比tensorflow的臃肿好多了。今天让我们来谈谈PyTorch的预...