{"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 csv
import json
import sys
import codecs
def 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 csv
import json
import sys
import codecs
def 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')