Python – Difference between json.dump() and json.dumps()
JSON is a lightweight data format for data interchange which can be easily read and written by humans, easily parsed and generated by machines. It is a complete language-independent text format. To work with JSON data, Python has a built-in package called json.
Note: For more information, refer to Working With JSON Data in Python
json.dumps()
json.dumps() method can convert a Python object into a JSON string.
Syntax: json.dumps(dict, indent)
Parameters:
- dictionary – name of dictionary which should be converted to JSON object.
- indent – defines the number of units for indentation
Example:
Python3
import json
dictionary = {
"id" : "04" ,
"name" : "sunil" ,
"department" : "HR"
}
json_object = json.dumps(dictionary, indent = 4 )
print (json_object)
|
Output:
{
"department": "HR",
"id": "04",
"name": "sunil"
}
Python objects and their equivalent conversion to JSON:
Python |
JSON Equivalent |
dict |
object |
list, tuple |
array |
str |
string |
int, float |
number |
True |
true |
False |
false |
None |
null |
json.dump()
json.dump() method can be used for writing to JSON file.
Syntax: json.dump(dict, file_pointer)
Parameters:
- dictionary – name of dictionary which should be converted to JSON object.
- file pointer – pointer of the file opened in write or append mode.
Example:
Python3
import json
dictionary = {
"name" : "sathiyajith" ,
"rollno" : 56 ,
"cgpa" : 8.6 ,
"phonenumber" : "9976770500"
}
with open ( "sample.json" , "w" ) as outfile:
json.dump(dictionary, outfile)
|
Output:
Let us see the differences in a tabular form -:
|
json.dump() |
json.dumps() |
1. |
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. |
2. |
Its syntax is -:
json.dump(obj, fp, *, skipkeys=False, ensure_ascii=True, check_circular=True, allow_nan=True, cls=None, indent=None, separators=None, default=None, sort_keys=False, **kw)
|
Its syntax is -:
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)
|
3. |
It is used to perform compact encoding to save file space |
It takes 7 parameters. |
4. |
It is used to skip nonbasic types while JSON encoding |
It can be used with Lists. |
Last Updated :
02 Jun, 2022
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