Python 设置对象不是 JSON 可序列化的
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set object is not JSON serializable
提问by user3398153
When I try to run the following code:
当我尝试运行以下代码时：
import json
d = {'testing': {1, 2, 3}}
json_string = json.dumps(d)
I get the following exception:
我收到以下异常：
Traceback (most recent call last):
File "json_test.py", line 4, in <module>
json_string = json.dumps(d)
File "/usr/lib/python2.7/json/__init__.py", line 243, in dumps
return _default_encoder.encode(obj)
File "/usr/lib/python2.7/json/encoder.py", line 207, in encode
chunks = self.iterencode(o, _one_shot=True)
File "/usr/lib/python2.7/json/encoder.py", line 270, in iterencode
return _iterencode(o, 0)
File "/usr/lib/python2.7/json/encoder.py", line 184, in default
raise TypeError(repr(o) + " is not JSON serializable")
TypeError: set([1, 2, 3]) is not JSON serializable
What can I do to successfully use json.dumpswith objects containing sets?
我该怎么做才能成功使用json.dumps包含sets 的对象？
采纳答案by Martijn Pieters
Turn sets into lists before serializing, or use a custom defaulthandler to do so:
在序列化之前将集合转换为列表，或使用自定义default处理程序来执行此操作：
def set_default(obj):
if isinstance(obj, set):
return list(obj)
raise TypeError
result = json.dumps(yourdata, default=set_default)
回答by Kei Minagawa
You can't fix it.
你无法修复它。
This error means just "json.dumps doesn't support data type "set".You should know JSON comes from javascript. And there is no data type like Python's "set" in javascript. So Python can't treat 'set' using JSON.
此错误仅表示“json.dumps 不支持数据类型“set”。您应该知道 JSON 来自 javascript。并且在 javascript 中没有像 Python 的“set”这样的数据类型。因此 Python 不能使用JSON。
So you need another approach like @Martijn Pieters mentioned.
所以你需要另一种方法，比如提到的@Martijn Pieters。
UPDATE
更新
I forgot to say this.
我忘了说这个。
If you want to dump "set" or any other python object that is not supported JSON, you can use pickleor cPicklemodule. If you use the "dump.txt" only from Python, this may be helpful.
如果要转储“set”或任何其他不支持 JSON 的 Python 对象，可以使用pickle或cPickle模块。如果您仅使用 Python 中的“dump.txt”，这可能会有所帮助。
import cPickle
d = {'testing': {1, 2, 3}}
#dump
with open("pickledump.txt", "w") as fp:
cPickle.dump(d, fp)
#load
with open("pickledump.txt", "r") as fp:
x = cPickle.load(fp)
