重庆分公司,新征程启航
为企业提供网站建设、域名注册、服务器等服务
这篇文章主要介绍“Python怎么将csv格式转换成JSON格式文件”,在日常操作中,相信很多人在Python怎么将csv格式转换成JSON格式文件问题上存在疑惑,小编查阅了各式资料,整理出简单好用的操作方法,希望对大家解答”Python怎么将csv格式转换成JSON格式文件”的疑惑有所帮助!接下来,请跟着小编一起来学习吧!
创新互联专注于企业全网整合营销推广、网站重做改版、永顺网站定制设计、自适应品牌网站建设、H5页面制作、商城网站定制开发、集团公司官网建设、成都外贸网站建设公司、高端网站制作、响应式网页设计等建站业务,价格优惠性价比高,为永顺等各大城市提供网站开发制作服务。csv文件内容如下:
1 Twin Oaks Place 10 Marquette Rd. 12 Craven Way 12 Fort Sheriden Ave. 12 Skokie Valley Rd. 12 Walker Ave. 120 high St.
一、使用内置函数处理
# /usr/bin/env python # -*- coding:utf-8 -*- import sys import json reload(sys) sys.setdefaultencoding('utf-8') #根据列表中是否为空,将不为空的配成键值对更新到字典中 def list_name(keyname, value1, dict1=None): dict1 = dict(zip(keyname, value1)) return dict1 with open(r'D:\address.csv', 'rb') as f: for line in f: if line == []: line ="" else: if line[-1] == "\n": line = line[:-1] if line[-1] == "\r": line = line[:-1] akk = [y for y in line.split(" ")] key1 = ['street','namefirst','namelast','address'] a1 = {} arr = list_name(key1,akk,a1) arr = json.dumps(arr) print arr
输出如下:
{"namelast": "Oaks", "street": "1", "namefirst": "Twin", "address": "Place"} {"namelast": "Rd.", "street": "10", "namefirst": "Marquette"} {"namelast": "Way", "street": "12", "namefirst": "Craven"} {"namelast": "Sheriden", "street": "12", "namefirst": "Fort", "address": "Ave."} {"namelast": "Valley", "street": "12", "namefirst": "Skokie", "address": "Rd."} {"namelast": "Ave.", "street": "12", "namefirst": "Walker"} {"namelast": "St.", "street": "120", "namefirst": "high"}
二、自己定义函数,内容可控
# /usr/bin/env python # -*- coding:utf-8 -*- import sys import json reload(sys) sys.setdefaultencoding('utf-8') #根据列表中是否为空,将不为空的配成键值对更新到字典中 def list_name(keyname, value1, dict1=None): for i in range(0, len(value1)): if value1[i] == "": break else: dit = {keyname[i]: value1[i]} dict1.update(dit) i += 1; return dict1 with open(r'D:\address.csv', 'rb') as f: for line in f: if line == []: line ="" else: if line[-1] == "\n": line = line[:-1] if line[-1] == "\r": line = line[:-1] akk = [y for y in line.split(" ")] key1 = ['street','namefirst','namelast','address'] a1 = {} arr = list_name(key1,akk,a1) arr = json.dumps(arr) print arr
输出如下:
{"namelast": "Oaks", "street": "1", "namefirst": "Twin", "address": "Place"} {"namelast": "Rd.", "street": "10", "namefirst": "Marquette"} {"namelast": "Way", "street": "12", "namefirst": "Craven"} {"namelast": "Sheriden", "street": "12", "namefirst": "Fort", "address": "Ave."} {"namelast": "Valley", "street": "12", "namefirst": "Skokie", "address": "Rd."} {"namelast": "Ave.", "street": "12", "namefirst": "Walker"} {"namelast": "St.", "street": "120", "namefirst": "high"}
到此,关于“Python怎么将csv格式转换成JSON格式文件”的学习就结束了,希望能够解决大家的疑惑。理论与实践的搭配能更好的帮助大家学习,快去试试吧!若想继续学习更多相关知识,请继续关注创新互联-成都网站建设公司网站,小编会继续努力为大家带来更多实用的文章!