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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