例如：
{1:{"city_id":01,"city_name":"北京","area":["城东区","城南区"]},2:{"city_id":2,"city_name":"上海","area":["浦东区","朝阳区"]}
}数组结构以[元素1，元素2，元素3]的形式表示。
例如：
[   {"red":1,"blue":2,"green":3},{"apple":8,"banana":6}
]

Python                 json
dict                object
list、tuple          array
str、unicode         string
int、long、float              number
True                true
False               false
None                null

import json dist_1=[["a",1],["b",{"q":2,"w":6,"e":4,"r":3}]]json_1=json.dumps(dist_1)
print json_1
运行结果：
[["a", 1], ["b", {"q": 2, "r": 3, "e": 4, "w": 6}]]
[Finished in 0.3s][格式化数据]
#-*-encoding:utf-8-*-
import json dist_city={1:{"city_id":01,"city_name":"北京","area":["城东区","城南区"]},2:{"city_id":2,"city_name":"上海","area":["浦东区","朝阳区"]}
}
print dist_city#格式化输出json数据
json_city=json.dumps(dist_city,sort_keys=True,indent=4)
print json_city运行结果：
{1: {'city_id': 1, 'city_name': '\xe5\x8c\x97\xe4\xba\xac', 'area': ['\xe5\x9f\x8e\xe4\xb8\x9c\xe5\x8c\xba', '\xe5\x9f\x8e\xe5\x8d\x97\xe5\x8c\xba']}, 2: {'city_id': 2, 'city_name': '\xe4\xb8\x8a\xe6\xb5\xb7', 'area': ['\xe6\xb5\xa6\xe4\xb8\x9c\xe5\x8c\xba', '\xe6\x9c\x9d\xe9\x98\xb3\xe5\x8c\xba']}}
{    #格式化后的json数据"1": {"area": ["\u57ce\u4e1c\u533a", "\u57ce\u5357\u533a"], "city_id": 1, "city_name": "\u5317\u4eac"}, "2": {"area": ["\u6d66\u4e1c\u533a", "\u671d\u9633\u533a"], "city_id": 2, "city_name": "\u4e0a\u6d77"}
}
[Finished in 0.3s][压缩]dist_1=[["a",1],["b",{"q":2,"w":6,"e":4,"r":3}]]
json_1=json.dumps(dist_1)
print "压缩前数据：%d" %(len(json_1))
#压缩
json_2=json.dumps(dist_1,separators=(",",":"))
print "压缩后数据：%d" %(len(json_2))
运行结果：
压缩前数据：51
压缩后数据：41
[Finished in 0.2s]loads函数
#-*-encoding:utf-8-*-
import json dist_1=[["a",1],["b",{"q":2,"w":6,"e":4,"r":3}]]
json_1=json.dumps(dist_1,indent=4,sort_keys=True,separators=(",",":"))
print json_1
json_2=json.loads(json_1)  #将json格式转换为Python关系的格式
print json_2
运行结果：
[["a",1],["b",{"e":4,"q":2,"r":3,"w":6}]
]
[[u'a', 1], [u'b', {u'q': 2, u'r': 3, u'e': 4, u'w': 6}]]
[Finished in 0.2s]