使用Python编码和解析Json
Python内置了json包来帮助我们完成对json的操作。
针对str操作：将Python的字典结构导出到json使用json.dumps() ，将json读成Python的字典结构，使用json.loads() 。
针对对文件操作：分别使用json.load()函数和json.dump()函数。
# coding=gbkimport tracebackimport jsonfile_name = '广州市_农贸市场_1717.txt'f = open(file_name, 'r')tmp = json.load(f)print(type(tmp))data = []for i in tmp:# print(i)#测试做一下格式转换 dl = { "name":i["name"], "location_lat" : i["location"]["lat"], "location_lng" : i["location"]["lng"] } data.append(dl)print(data)with open('ceshi.txt', 'w', encoding="utf-8") as f: f.write(json.dumps(data, ensure_ascii=False)) print('---wirte success---')附上 广州市_农贸市场_1717.txt
[{"name": "江南市场", "location": {"lat": 23.179127, "lng": 113.236457}, "address": "广东省广州市白云区增槎路926号", "province": "广东省", "city": "广州市", "area": "白云区", "street_id": "9fbfeef24609615cece4a59b", "detail": 1, "uid": "9fbfeef24609615cece4a59b"}, {"name": "广州番禺清河市场", "location": {"lat": 22.938501, "lng": 113.401308}, "address": "广东省广州市番禺区亚运大道94号", "province": "广东省", "city": "广州市", "area": "番禺区", "street_id": "bc57b5426b43342922f01731", "telephone": "(020)84629663", "detail": 1, "uid": "bc57b5426b43342922f01731"}]