使用什么库将其转换为python中的json?
编辑1: 我的代码现在看起来像
import boto3
import json
rds_client = boto3.client('rds', 'ap-southeast-1')
db_instance_info = rds_client.describe_db_instances()
with open('result.json', 'w') as db:
json.dump(db_instance_info, db)
它显示此错误
Traceback (most recent call last):
File "list.py", line 14, in <module>
json.dump(db_instance_info, db)
File "/usr/lib/python2.7/json/__init__.py", line 189, in dump
for chunk in iterable:
File "/usr/lib/python2.7/json/encoder.py", line 434, in _iterencode
for chunk in _iterencode_dict(o, _current_indent_level):
File "/usr/lib/python2.7/json/encoder.py", line 408, in _iterencode_dict
for chunk in chunks:
File "/usr/lib/python2.7/json/encoder.py", line 332, in _iterencode_list
for chunk in chunks:
File "/usr/lib/python2.7/json/encoder.py", line 408, in _iterencode_dict
for chunk in chunks:
File "/usr/lib/python2.7/json/encoder.py", line 442, in _iterencode
o = _default(o)
File "/usr/lib/python2.7/json/encoder.py", line 184, in default
raise TypeError(repr(o) + " is not JSON serializable")
TypeError: datetime.datetime(2017, 6, 6, 9, 7, 33, 472000, tzinfo=tzutc()) is not JSON serializable
答案 0 :(得分:1)
该错误是明确的:
TypeError: datetime.datetime(2017, 6, 6, 9, 7, 33, 472000, tzinfo=tzutc()) is not JSON serializable
默认情况下,json
模块无法序列化datetime
模块中的任何类型,并且您的词典中包含..., u'InstanceCreateTime': datetime.datetime(2017, 6, 6, 9, 7, 33, 472000, tzinfo=tzutc())
和其他日期时间。
惯用的方法是定义一个自定义编码器来处理相关对象。覆盖默认方法,处理特定对象并将其他所有内容传递给基类方法就足够了:
class DateEncoder(json.JSONEncoder):
"""This encoder only use the default string convertion for the types
date, time and datetime of the datetime module"""
def default(self, o):
if (isinstance(o, datetime.date)
or isinstance(o, datetime.datetime)
or isinstance(o, datetime.time)):
return str(o) # specialize here the format...
return json.JSONEncoder.default(self, o)
然后您可以使用它来构建json:
with open('result.json', 'w') as db:
json.dump(db_instance_info, db, cls=DateEncoder)
答案 1 :(得分:0)
只需使用json
模块:
import json
jsonarray = json.dumps(the_dict, ensure_ascii=False)
这里有ensure_ascii
位是为了避免任何编码/解码错误。
答案 2 :(得分:0)
您可以在python中使用json库
import json
x = {'s': True}
r = json.dumps(x)
这将给出一个json字符串