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Convert Pandas dataframe to json

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by sneha@openweaver.com dot icon Updated: Mar 30, 2023

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A Pandas DataFrame is a two-dimensional data structure in Python used to store and manipulate tabular data. It is similar to a spreadsheet or a SQL table, with rows and columns. The DataFrame is a core data structure in Pandas, a popular Python library for data manipulation and analysis.


JSON stands for JavaScript Object Notation. It is a lightweight, text-based, and language-independent data interchange format. It is used to exchange data between applications written in different programming languages.


JSON is based on two universal data structures:


  • A collection of name/value pairs
  • An ordered list of values


To convert a Pandas DataFrame to JSON format in Python, you can use the to_json() method of the DataFrame object. This method converts the DataFrame to a JSON string.


Here is an example of how to convert pandas dataframe to json


Fig1: Preview of Output when the code is run in IDE.

Code


In this solution we're using to_json() to convert pandas dataframe to json.

Converting dataframe to json in Python

PythondotLines of Code : 9dotLicense : Strong Copyleft (CC BY-SA 4.0)

Dependent Libraries : 
import pandas as pd

df = pd.DataFrame([
    {"dis": "RTU-1", "equip": "m", "siteRef": "r:153c-699a HQ", "installed": "d:2005-06-01"},
    {"dis": "RTU-2", "equip": "m", "siteRef": "r:153c-699a HQ", "installed": "d:999-07-12"}])
df.to_json(orient="records")

'[{"dis":"RTU-1","equip":"m","installed":"d:2005-06-01","siteRef":"r:153c-699a HQ"},{"dis":"RTU-2","equip":"m","installed":"d:999-07-12","siteRef":"r:153c-699a HQ"}]'

Instructions

Follow the steps carefully to get the output easily.

  1. Install Jupyter Notebook on your computer.
  2. Open terminal and install the required libraries with following commands.
  3. Install Pandas - pip install pandas
  4. Copy the snippet using the 'copy' button and paste it into that file.
  5. Run the file using run button.


I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.


I found this code snippet by searching for "Converting dataframe to json in Python" in kandi. You can try any such use case!

Dependent Libraries

pandasby pandas-dev

Python doticonstar image 38689 doticonVersion:v2.0.2doticon
License: Permissive (BSD-3-Clause)

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Support
    Quality
      Security
        License
          Reuse

            pandasby pandas-dev

            Python doticon star image 38689 doticonVersion:v2.0.2doticon License: Permissive (BSD-3-Clause)

            Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
            Support
              Quality
                Security
                  License
                    Reuse

                      You can also search for any dependent libraries on kandi like "pandas"

                      Environment Tested


                      I tested this solution in the following versions. Be mindful of changes when working with other versions.

                      1. The solution is created in Python3.9.6.
                      2. The solution is tested on pandas 1.4.4 version.


                      Using this solution, we are able to convert pandas dataframe to json.


                      This process also facilities an easy to use, hassle free method to create a hands-on working version of code which would help us to convert pandas dataframe to json.

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