JSON is a lightweight data format for data interchange that can be easily read and written by humans, and 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.
Example of JSON String
s = '{"id":01, "name": "Emily", "language": ["C++", "Python"]}'
The syntax of JSON is considered a subset of the syntax of JavaScript including the following:
- Name/Value pairs: Represents Data, the name is followed by a colon(:), and the Name/Value pairs are separated by a comma(,).
- Curly braces: Holds objects.
- Square brackets: Hold arrays with values separated by a comma (,).
Keys/Name must be strings with double quotes and values must be data types amongst the following:
- String
- Number
- Object (JSON object)
- array
- Boolean
- Null
Example of JSON file:
{
"employee": [
{
"id": "01",
"name": "Amit",
"department": "Sales"
},
{
"id": "04",
"name": "sunil",
"department": "HR"
}
]
}
Python Parse JSON String
In the below code, we are going to convert JSON to a Python object. To parse JSON string Python firstly we import the JSON module. We have a JSON string stored in a variable ’employee’ and we convert this JSON string to a Python object using json.loads() method of JSON module in Python. After that, we print the name of an employee using the key ‘name’ .
Python3
# Python program to convert JSON to Python import json # JSON string employee = '{"id":"09", "name": "Nitin", "department":"Finance"}' # Convert string to Python dict employee_dict = json.loads(employee) print (employee_dict) print (employee_dict[ 'name' ]) |
{'id': '09', 'name': 'Nitin', 'department': 'Finance'} Nitin
Python read JSON file
Let’s suppose we have a JSON file that looks like this.
Here, we have used the open() function to read the JSON file. Then, the file is parsed using json.load() method which gives us a dictionary named data.
Python3
import json # Opening JSON file f = open ( 'data.json' ,) # returns JSON object as # a dictionary data = json.load(f) # Iterating through the json # list for i in data[ 'emp_details' ]: print (i) # Closing file f.close() |
Output:
Convert Python Dict to JSON
In the below code, we are converting a Python dictionary to a JSON object using json.dumps() method of JSON module in Python. We first import the JSON module and then make a small dictionary with some key-value pairs and then passed it into json.dumps() method with ‘indent=4’ to convert this Python dictionary into a JSON object. As we have given the value of indent to 4 there are four whitespaces before each data as seen in the output.
Python3
# Python program to convert # Python to JSON import json # Data to be written dictionary = { "id" : "04" , "name" : "sunil" , "department" : "HR" } # Serializing json json_object = json.dumps(dictionary, indent = 4 ) print (json_object) |
{ "id": "04", "name": "sunil", "department": "HR" }
The following types of Python objects can be converted into JSON strings:
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 |
Writing JSON to a file in Python
We can write JSON to file using json.dump() function of JSON module and file handling in Python. In the below program, we have opened a file named sample.json in writing mode using ‘w’. The file will be created if it does not exist. Json.dump() will transform the Python dictionary to a JSON string and it will be saved in the file sample.json.
Python3
# Python program to write JSON # to a file import json # Data to be written dictionary = { "name" : "sathiyajith" , "rollno" : 56 , "cgpa" : 8.6 , "phonenumber" : "9976770500" } with open ( "sample.json" , "w" ) as outfile: json.dump(dictionary, outfile) |
Output:
Python Pretty Print JSON
When we convert a string to JSON the data is in a less readable format. To make it more readable we can use pretty printing by passing additional arguments in json.dumps() function such as indent and sort_keys as used in the below code.
Python3
# Python program to convert JSON to Python import json # JSON string employee = '{"id":"09", "name": "Nitin", "department":"Finance"}' # Convert string to Python dict employee_dict = json.loads(employee) # Pretty Printing JSON string back print (json.dumps(employee_dict, indent = 4 , sort_keys = True )) |
{ "department": "Finance", "id": "09", "name": "Nitin" }