json.dumps() is much more than just making a string out of a Python object, it would always produce a valid JSON string (assuming everything inside the object is serializable) following the Type Conversion Table.
For instance, if one of the values is None, the str() would produce an invalid JSON which cannot be loaded:
>>> data = {'jsonKey': None}
>>> str(data)
"{'jsonKey': None}"
>>> json.loads(str(data))
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/json/__init__.py", line 338, in loads
return _default_decoder.decode(s)
File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/json/decoder.py", line 366, in decode
obj, end = self.raw_decode(s, idx=_w(s, 0).end())
File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/json/decoder.py", line 382, in raw_decode
obj, end = self.scan_once(s, idx)
ValueError: Expecting property name: line 1 column 2 (char 1)
But the dumps() would convert None into null making a valid JSON string that can be loaded:
>>> import json
>>> data = {'jsonKey': None}
>>> json.dumps(data)
'{"jsonKey": null}'
>>> json.loads(json.dumps(data))
{u'jsonKey': None}
Answer from alecxe on Stack Overflowjson.dumps() is much more than just making a string out of a Python object, it would always produce a valid JSON string (assuming everything inside the object is serializable) following the Type Conversion Table.
For instance, if one of the values is None, the str() would produce an invalid JSON which cannot be loaded:
>>> data = {'jsonKey': None}
>>> str(data)
"{'jsonKey': None}"
>>> json.loads(str(data))
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/json/__init__.py", line 338, in loads
return _default_decoder.decode(s)
File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/json/decoder.py", line 366, in decode
obj, end = self.raw_decode(s, idx=_w(s, 0).end())
File "/System/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/json/decoder.py", line 382, in raw_decode
obj, end = self.scan_once(s, idx)
ValueError: Expecting property name: line 1 column 2 (char 1)
But the dumps() would convert None into null making a valid JSON string that can be loaded:
>>> import json
>>> data = {'jsonKey': None}
>>> json.dumps(data)
'{"jsonKey": null}'
>>> json.loads(json.dumps(data))
{u'jsonKey': None}
There are other differences. For instance, {'time': datetime.now()} cannot be serialized to JSON, but can be converted to string. You should use one of these tools depending on the purpose (i.e. will the result later be decoded).
Convert string to JSON in Python? - Stack Overflow
Writing a json object as a string
Convert string into json object
Switch your quotes:
In [7]: phone = ['{"value": "4088768912", "label": "mobile"}', '{"value": "415659408", "label": "home"}']
json.loads(phone[0])
Out[8]: {'value': '4088768912', 'label': 'mobile'} More on reddit.com how do i conviniently convert a JSON string with backslashes into a regular JSON string.
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I have a script that dumps a json object into a .json file after execution. Normally I would use json.dumps(dictionary) to do this. However I have a cache memory restriction that throws a monkey wrench into my plans. If the dictionary gets too big, I run into problems. I was wondering if I could write a dictionary as a string and them open it back up as a json file. For example, would thing like this be a good idea?
with open('test.json', 'wb') as fw:
fw.write('{"a":"b"}')Of course, this is a very trivial example that i came up with. If anyone has a better idea pls show me