利用python将json数据转换为csv格式的方法

{"type": "Point", "link": "http://www.dianping.com/newhotel/22416995", "coordinates": [116.37256372996957, 40.39798447055443], "category": "经济型", "name": "北京荷塘山庄", "count": "278", "address": "北京市怀柔区黄花城村安四路", "price": "380"}{"type": "Point", "link": "http://www.dianping.com/newhotel/19717653", "coordinates": [116.56881588256466, 40.43310967948417], "category": "经济型", "name": "慕田峪长城鱼师傅乡村酒店", "count": "89", "address": "北京市怀柔区渤海镇苇店村(慕田峪长城下3公里处，近怀黄路)", "price": "258"}{"type": "Point", "link": "http://www.dianping.com/newhotel/58365289", "coordinates": [116.62874974822378, 40.45610264855833], "category": "经济型", "name": "北京蜜桃儿亲子客栈", "count": "119", "address": "北京市怀柔区神堂峪风景区下官地11号", "price": "549"}

#-*-coding:utf-8-*-import csvimport jsonimport sysimport codecsdef trans(path): jsonData = codecs.open(path+'.json', 'r', 'utf-8') # csvfile = open(path+'.csv', 'w') # 此处这样写会导致写出来的文件会有空行 # csvfile = open(path+'.csv', 'wb') # python2下 csvfile = open(path+'.csv', 'w', newline='') # python3下 writer = csv.writer(csvfile, delimiter='/t') flag = True for line in jsonData:  dic = json.loads(line[0:-1])  if flag:   # 获取属性列表   keys = list(dic.keys())   print (keys)   writer.writerow(keys) # 将属性列表写入csv中   flag = False  else:   # 读取json数据的每一行，将values数据一次一行的写入csv中   writer.writerow(list(dic.values())) jsonData.close() csvfile.close()if __name__ == '__main__': path=str(sys.argv[1]) # 获取path参数 print (path) trans(path)

python C:/Users/MaMQ/Documents/jsonToCsv.py C:/Users/MaMQ/Documents/data/geoFood

import csvimport jsonimport sysimport codecsdef trans(path): jsonData = codecs.open(path+'.json', 'r', 'utf-8') # csvfile = open(path+'.csv', 'w') # 此处这样写会导致写出来的文件会有空行 # csvfile = open(path+'.csv', 'wb') # python2下 csvfile = open(path+'.csv', 'w', newline='') # python3下 writer = csv.writer(csvfile, delimiter='/t') keys=['id', 'name', 'category', 'price', 'count', 'type', 'address', 'link', 'x', 'y'] writer.writerow(keys) i = 1 for dic in jsonData:  dic = json.loads(dic[0:-1])  x = dic['coordinates'][0]  y = dic['coordinates'][1]  writer.writerow([str(i),dic['name'],dic['category'],dic['price'],dic['count'],dic['type'],dic['address'],dic['link'],x,y])  i += 1 jsonData.close() csvfile.close()if __name__ == '__main__': path = str(sys.argv[1]) print (path) trans(path)

jsonData = codecs.open(path + '.json', 'r', encoding='utf-8')