What is json dump python?

The full-form of JSON is JavaScript Object Notation. It means that a script (executable) file which is made of text in a programming language, is used to store and transfer the data. Python supports JSON through a built-in package called json. To use this feature, we import the json package in Python script. The text in JSON is done through quoted-string which contains the value in key-value mapping within { }. It is similar to the dictionary in Python.

Note: For more information, refer to Read, Write and Parse JSON using Python
 

Json.dumps()

json.dumps() function converts a Python object into a json string.
 

Syntax: 
json.dumps(obj, *, skipkeys=False, ensure_ascii=True, check_circular=True, allow_nan=True, cls=None, indent=None, separators=None, default=None, sort_keys=False, **kw)
Parameters: 
obj: Serialize obj as a JSON formatted stream 
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. 
ensure_ascii: If ensure_ascii is True (the default), the output is guaranteed to have all incoming non-ASCII characters escaped. If ensure_ascii is False, these characters will be output as-is. 
check_circular: If check_circular is False (default: True), then the circular reference check for container types will be skipped and a circular reference will result in an OverflowError (or worse). 
allow_nan: If allow_nan is False (default: True), then it will be a ValueError to serialize out of range float values (nan, inf, -inf) in strict compliance of the JSON specification. If allow_nan is True, their JavaScript equivalents (NaN, Infinity, -Infinity) will be used. 
indent: If indent is a non-negative integer or string, then JSON array elements and object members will be pretty-printed with that indent level. An indent level of 0, negative, or “” will only insert newlines. None (the default) selects the most compact representation. Using a positive integer indent indents that many spaces per level. If indent is a string (such as “\t”), that string is used to indent each level. 
separators: If specified, separators should be an (item_separator, key_separator) tuple. The default is (‘, ‘, ‘: ‘) if indent is None and (‘, ‘, ‘: ‘) otherwise. To get the most compact JSON representation, you should specify (‘, ‘, ‘:’) to eliminate whitespace. 
default: If specified, default should be a function that gets called for objects that can’t otherwise be serialized. It should return a JSON encodable version of the object or raise a TypeError. If not specified, TypeError is raised. 
sort_keys: If sort_keys is True (default: False), then the output of dictionaries will be sorted by key. 
 

Example #1: Passing the Python dictionary to json.dumps() function will return a string. 
 

Python3

import json

Dictionary ={1:'Welcome', 2:'to',

            3:'Geeks', 4:'for',

            5:'Geeks'}

json_string = json.dumps(Dictionary)

print('Equivalent json string of input dictionary:',

      json_string)

print("        ")

print(type(json_string))

Output
 

Equivalent json string of dictionary: {“1”: “Welcome”, “2”: “to”, “3”: “Geeks”, “4”: “for”, “5”: “Geeks”} 

Example #2: By setting the skipkeys to True(default: False) we automatically skip the keys that are not of basic type.
 

Python3

import json

Dictionary ={(1, 2, 3):'Welcome', 2:'to',

            3:'Geeks', 4:'for',

            5:'Geeks'}

json_string = json.dumps(Dictionary,

                         skipkeys = True)

print('Equivalent json string of dictionary:',

      json_string)

Output 
 

Equivalent json string of dictionary: {“2”: “to”, “3”: “Geeks”, “4”: “for”, “5”: “Geeks”} 
 

Example #3: 
 

Python3

import json

Dictionary ={(1, 2, 3):'Welcome', 2:'to',

            3:'Geeks', 4:'for',

            5:'Geeks', 6:float('nan')}

json_string = json.dumps(Dictionary,

                         skipkeys = True,

                         allow_nan = True)

print('Equivalent json string of dictionary:',

      json_string)

Output : 
 

Equivalent json string of dictionary: {“2”: “to”, “3”: “Geeks”, “4”: “for”, “5”: “Geeks”, “6”: NaN} 

Example #4: 
 

Python3

import json

Dictionary ={(1, 2, 3):'Welcome', 2:'to',

            3:'Geeks', 4:'for',

            5:'Geeks', 6:float('nan')}

json_string = json.dumps(Dictionary,

                         skipkeys = True,

                         allow_nan = True,

                         indent = 6)

print('Equivalent json string of dictionary:',

      json_string)

Output: 
 

Equivalent json string of dictionary: {
      "2": "to",
      "3": "Geeks",
      "4": "for",
      "5": "Geeks",
      "6": NaN
}

Example #5: 
 

Python3

import json

Dictionary ={(1, 2, 3):'Welcome', 2:'to',

            3:'Geeks', 4:'for',

            5:'Geeks', 6:float('nan')}

json_string = json.dumps(Dictionary,

                         skipkeys = True,

                         allow_nan = True,

                         indent = 6,

                         separators =(". ", " = "))

print('Equivalent json string of dictionary:',

      json_string)

Output: 
 

Equivalent json string of dictionary: {
      "2" = "to". 
      "3" = "Geeks". 
      "4" = "for". 
      "5" = "Geeks". 
      "6" = NaN
}

Example #6: 
 

Python3

import json

Dictionary ={'c':'Welcome', 'b':'to',

            'a':'Geeks'}

json_string = json.dumps(Dictionary,

                         indent = 6,

                         separators =(". ", " = "),

                         sort_keys = True)

print('Equivalent json string of dictionary:',

      json_string)

Output: 
 

Equivalent json string of dictionary: {
      "a" = "Geeks". 
      "b" = "to". 
      "c" = "Welcome"
}

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