It seems they are behaving exactly the same way.
>>> data
[('a', 'b'), {'a': 1, 'b': 2}, ['a', 'b'], 'a', 'b']
>>> json.dumps(data)
'[["a", "b"], {"a": 1, "b": 2}, ["a", "b"], "a", "b"]'
>>> tornado.escape.json_encode(data)
'[["a", "b"], {"a": 1, "b": 2}, ["a", "b"], "a", "b"]'
>>> json.loads(json.dumps(data))
[[u'a', u'b'], {u'a': 1, u'b': 2}, [u'a', u'b'], u'a', u'b']
>>> tornado.escape.json_decode(json.dumps(data))
[[u'a', u'b'], {u'a': 1, u'b': 2}, [u'a', u'b'], u'a', u'b']
loads() takes in a string and returns a json object. json. dumps() takes in a json object and returns a string.
The json. dumps() method allows us to convert a python object into an equivalent JSON object. Or in other words to send the data from python to json.
dumps() . The json. dumps() returns the JSON string representation of the Python dict .
dump() dumps() The dump() method is used when the Python objects have to be stored in a file. The dumps() is used when the objects are required to be in string format and is used for parsing, printing, etc, . The dump() needs the json file name in which the output has to be stored as an argument.
json loads -> returns an object from a string representing a json object. json dumps -> returns a string representing a json object from an object. Not the answer you're looking for? Browse other questions tagged python json or ask your own question.
Json.dump (): Used for writing the Python object i.e. dict to JSON file. For example, you have data in a list or dictionary or any Python object, and you want to encode and store it in a file in the form of JSON.
json.load () json.load () takes a file object and returns the json object. It is used to read JSON encoded data from a file and convert it into a Python dictionary and deserialize a file itself i.e. it accepts a file object.
json.dump () to encode and write JSON data to a file 1 To write the JSON response in a file: Most of the time, when you execute a GET request, you receive a response in JSON... 2 For example, you have data in a list or dictionary or any Python object, and you want to encode and store it in a file... More ...
Sometimes it's useful to read the source code:
def json_encode(value):
return json.dumps(value).replace("</", "<\\/")
def json_decode(value):
return json.loads(to_basestring(value))
def to_basestring(value):
if isinstance(value, _BASESTRING_TYPES):
return value
assert isinstance(value, bytes_type)
return value.decode("utf-8")
to_basestring
is mostly needed for python 3.x to ensure the value
has type str
, not bytes
, because json.loads
can't deal with the latter.
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