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I am talking of a JSON conversion like:
>>> a = {'asas': 1/7.0}
>>> b = json.dumps(a)
>>> c = json.loads(b)
>>> c
{u'asas': 0.14285714285714285}
>>> c['asas'] == 1.0/7
True
Is the JSON encoding guaranteed not to roundoff the number?
In my How to store a floating point number as text without losing precision?, Mark Dickinson says that repr doesnt cause loss of precision. Does json.dumps use the repr?
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dumps() json. dumps() function converts a Python object into a json string. skipkeys: If skipkeys is True (default: False), then dict keys that are not of a basic type (str, int, float, bool, None) will be skipped instead of raising a TypeError.
json. dump() method used to write Python serialized object as JSON formatted data into a file. json. dumps() method is used to encodes any Python object into JSON formatted String.
jsonify() returns a Response object with the application/json mimetype set, whereas json. dumps() simply returns a string of JSON data.
The indent parameter specifies the spaces that are used at the beginning of a line. We can use the indent parameter of json. dump() to specify the indentation value. By default, when you write JSON data into a file, Python doesn't use indentations and writes all data on a single line, which is not readable.
There is no mention of repr anywhere in the json docs, but it is the current implementation of float-to-string coercion:
FLOAT_REPR = repr
(Lib/json/encoder.py, line 31)
You can build your own JSONEncoder if you want a strict guarantee.
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