×

How to Parse JSON in Python

JSON

The JSON, the Java Script Object Notation, is an open standard file designed for data interchange; it is light-weighted text. The JSON uses human-readable text to store and transmit the data objects; it contains the variables and arrays. The JSON is independent of any programming language, and the JSON has a file extension of .json. The JSON is mainly used for the transmission of the data between a web application and a server; it acts the same as the transmitter in a communication device; both are mainly used for the transmission of the data. DouglasCrockford developed the JSON in 2001. The JSON has been derived from the javascript.

The JSON mainly consists of the two built-in functions or built-in methods.

  • JSON.parse( )- It is mainly used to convert the JSON standard file strings into the objects of the JavaScript programming language.
  • JSON.stringify( )- It is primarily used to convert an object in JavaScript into a JSON string.

JSON Python

Python programming language supports the JSON. The JSON provides the module that helps convert theJSON data into the python objects, such as dictionaries and strings. The data in the dictionary is stored in the key-value pair, and the data in the JSON is generally stored in the form of strings. Before parsing the data into the python dictionary, it is stored in the form of the string variable.

JSON String into Python Object

The data in the JSON is mainly stored in the form of strings; it can be parsed into the python dictionary. This operation can be performed by importing the JSON module. The JSON module consists of the two built-in functions or built-in methods to import the data- load and loads. To import a string, we generally use the loads module, which is read as 'load-s', that is, loading the string, whereas the load module is used when the data is in the form of bytes. The Boolean values in the JSON are read as true and false, which are converted into the python equivalent Boolean value 'True' and 'False'.

Example:

 Let us consider an example of the name of the company and the total number of products produced by the company as the JSON data.

JSON data:

{
     “company”: ‘Tata’,
      “Production”: 2514522,
}

Code:

#importing the JSON module
importJSON
#JSON string
motors = ‘{“company”: “Tata”, “Production”: 2514522}’
#displaying the type of the company before converting it to a python dictionary
print(type(company))
#Python dictionary
company_dict =json.loads(company)
#displaying the type of the company after converting it into the python dictionary.
print(type(company_dict))
#displaying the company
print(company_dict[‘company’])

Output:

<class ‘str’>
<class ‘dict’>
Tata

Here, we can observe that first, we need to import the JSON module before performing any operation before parsing the data into the python dictionary; the data in the JSON is first stored in the form of the JSON string. Then we used the inbuilt function of the JSON module JSON.loads(); we will then parse it into the python dictionary or python list depending upon the input string; that is, if the input string contains only one data as input, then it will be parsed as the list, and if the data contains more than one input it will be parsed as a dictionary.

Convert JSON File into Python Object

This process is similar to parsing the JSON data stored in the strings. In this method, we first read the JSON files and then parse the JSON data into the python data. Here we require the open( ) function to read the data in the JSON file, and we use the load( ) built-in function. Here we use the .jsonto store the file.

File:

Students_marks.json

{
    “name” : “Rohit”
    “Marks” : 97
    “Subject” : Mathematics
}

Code:

# importing the JSON module
importJSON
#opening the file
with open(‘Students_marks.json) as f:
data = json.load(f)
#displaying the data type
print(type(data))
#displaying the name of the student
print(data[‘name’])

Output:

<class ‘dict’>
Rohit

Here, we can observe that first, we need to import the JSON module before performing any operation; then, with the help of the   open( ) function, we need to read the file before parsing the data into the python dictionary the data in the JSON is first stored in the form of the JSON string. Then we used the inbuilt function of the JSON module JSON.load(); it will then be parsed into the python dictionary or python list depending upon the input string; that is, if the input string contains only one data as input, then it will be parsed as the list, and if the data contains more than one input it will be parsed as a dictionary.


Related Topics

Python List insert() method

Python List insert() method The list.insert () method in Python inserts an item at the specified position. Syntax list.insert(i, x) Parameter i: This parameter represents a number specifying the position to insert the given value. x: This parameter signifies...

1 minute read.

Python math.cos and math.acos function

Math.cos() function In Python, the Math module is used for performing the mathematical operations. It includes the math.cos() function that is used for obtaining the cosine value of an angle in...

3 minutes read.

Python String Methods

Python String Methods Python has a set of built-in string methods. The Python string methods are as follows: capitalize() The string.capitalize() method returns a copy of the string by converting the...

5 minutes read.

Flutter with tensor flow in python

Python : Python is an object oriented programming language which is highly interpreted and is highly interactive. Python was created by Guido van Rossum in the year 1985 – 1990 .The...

3 minutes read.

Python Set issuperset() method

Python Set issuperset() method The set.issuperset() method in Python returns a boolean value True if all items in the specified set exists in the original set, else it returns False. Syntax set.issuperset (set1) Parameter set- This parameter represents the...

2 minutes read.

Operator Module In Python

Introduction The operator module is used for performing operations using methods rather than utilizing operators in Python code. The operator module provides several methods for performing the operations.  The operator module contains...

7 minutes read.

Python Slice from Last Occurrence of K

Introduction We already know that in Python, cutting produces a sub-string out of a string. The variables start, stop, and step are used to set the slicing range. When dealing on...

3 minutes read.

Falcon Python

Introduction of Python Python is the fastest and the smartest programming language and it is an object oriented language. Python has libraries that can be importedeasily and perform many operations; to...

3 minutes read.

Add in Dictionary Python

Dictionary in python: Dictionaries are a useful data configuration for storing information in Python because they can mimic real-world data arrangements where a particular value exists for a particular key. The...

4 minutes read.

Add a key-value pair to dictionary in Python

In programming, data type defines the type of value that a variable can hold. With help of these, we can perform various mathematical, logical, or relational operations on that particular...

5 minutes read.

Android apps for coding in python

Nowadays, it is the generation of smartphones. The world can be seen and acknowledged with a single click on your mobile phone. Everyone uses mobile phones to do any work,...

9 minutes read.

Python Classification

Identification and grouping of items or concepts into specified categories this process is known the classification. Data can be separated and sorted in data management according to predetermined criteria for...

6 minutes read.

How to Make an App with Python

In this age of mobiles, rapid mobile application development has got a lot of traction. Moreover, app developers are high in demand because of the increase in digitization. Generally, Python is...

4 minutes read.

Problem-solving with algorithm and data structures using Python

What is problem-solving? There is no universal method for solving problems. It's frequently a special process that balances your immediate and long-term goals with your available resources. However, several models emphasise...

3 minutes read.

OSError in Python

Python: Python programming language is one of the most used programming languages, as it is used widely in the field of software and data analysis, web development, etc. It is said...

4 minutes read.

Python Strong Number

Strong Number- Logic Divide each of the number's digits into separate units to determine if it is a strong number or not.The factorial of each digit must then be determined. The...

5 minutes read.

Decision Tree Classification in Python

In this article, we will learn the implementation of the decision tree in Sklearn, which is nothing but the Scikit Learn library of python. First, we should learn what classification...

12 minutes read.

Python Marshmallow

Python:  Python programming language is one of the most used programming languages, as it is used widely in the field of software and data analysis, web development, etc. It is said...

3 minutes read.

_name_ in Python

Introduction: The code at level 0 indentation is to be performed when the command to run a Python program is supplied to the interpreter because Python does not have a main() function...

4 minutes read.

How to convert Float to Int in Python?

A float value can be converted to an int via type conversion, an explicit method of transforming an operand to a certain type. But it must be noted that such...

3 minutes read.