Python实现列表转换成字典数据结构的方法
发布时间:2020-12-16 20:53:33 所属栏目:Python 来源:网络整理
导读:本篇章节讲解Python实现列表转换成字典数据结构的方法。供大家参考研究具体如下: '''[ {'symbol': 101,'sort': 1,'name': 'aaaa'},{'symbol': 102,'sort': 2,'name': 'bbbb'},{'symbol': 103,'sort': 3,'name': 'cccc'},{'symbol': 104,'sort': 4
本篇章节讲解Python实现列表转换成字典数据结构的方法。分享给大家供大家参考,具体如下: ''' [ {'symbol': 101,'sort': 1,'name': 'aaaa'},{'symbol': 102,'sort': 2,'name': 'bbbb'},{'symbol': 103,'sort': 3,'name': 'cccc'},{'symbol': 104,'sort': 4,'name': 'dddd'},{'symbol': 105,'sort': 5,'name': 'eeee'},{'symbol': 106,'sort': 6,'name': 'ffff'},{'symbol': 107,'sort': 7,'name': 'gggg'},{'symbol': 108,'sort': 8,'name': 'hhhh'},{'symbol': 109,'sort': 9,'name': 'iiii'} ] 转换成如下的结构,便于通过ID获取记录值 { 101: {'sort': 1,'symbol': 101,102: {'sort': 2,'symbol': 102,103: {'sort': 3,'symbol': 103,104: {'sort': 4,'symbol': 104,105: {'sort': 5,'symbol': 105,106: {'sort': 6,'symbol': 106,107: {'sort': 7,'symbol': 107,108: {'sort': 8,'symbol': 108,109: {'sort': 9,'symbol': 109,'name': 'iiii'} } ''' students = [ {'symbol': 101,'name': 'iiii'} ] symbol_list = map(lambda x: (x.get('symbol'),x),students) print symbol_list print '-----------------------------------------' print dict(symbol_list) #value_list = map(lambda x: x,students) # ##print dict(zip(symbol_list,value_list)) # # #student = { # 101: {'symbol': 101,'name': 'aaaa'} # } # #student = [ # {101: {'symbol': 101,'name': 'aaaa'}} # ] # 排序用法: students = [ {'name':'zhangsan','price':20.01,'date':'2015-01-09T01:00:00Z'},{'name':'lisi','price':10.01,'date':'2013-01-09T01:00:00Z'},{'name':'wangwu','price':0.01,'date':'2012-01-09T01:00:00Z'} ] print sorted(students,key=lambda s:s["name"]) print sorted(students,key=lambda s:s["price"],reverse=True) print sorted(students,key=lambda s:s["date"],reverse=True) aa = sorted(students,reverse=True) sorted(aa,reverse=True) symbol_arr = [<Symbol: Symbol object>,<Symbol: Symbol object>,<Symbol: Symbol object>] sorted(symbol_arr,key=lambda s:s.amount,reverse=True) 希望本文所述对大家Python程序设计有所帮助。 (编辑:李大同) 【声明】本站内容均来自网络,其相关言论仅代表作者个人观点,不代表本站立场。若无意侵犯到您的权利,请及时与联系站长删除相关内容! |