Back ArrowExplore all kits

Convert Pandas DataFrame to JSON

share link

by Abdul Rawoof A R dot icon Updated: Jul 31, 2023

technology logo
technology logo

Solution Kit Solution Kit  

Converting a Pandas DataFrame to JSON means transforming a tabular data structure into a JSON (JavaScript Object Notation) string format, a lightweight data-interchange format.


This process is useful for data exchange between systems, as programming languages, web APIs, and databases widely support JSON. Pandas provide the to_json() method to convert a DataFrame to a JSON string in various formats. By specifying the orient parameter, you can control the structure of the resulting JSON output. For example, in the given code snippet, the DataFrame is converted to a JSON string with a 'records' orientation using the to_json(orient='records') method. This creates a list of dictionaries, each corresponding to a row of the DataFrame. 


Converting a DataFrame to JSON is useful in many scenarios, such as sending data to a web API, storing data in a NoSQL database, or transferring data between different programming languages. It provides a flexible and efficient way to represent data in a format easily consumed and processed by other systems. 


Here is an example of how to Convert Pandas DataFrame to JSON: 

Fig : Preview of the output that you will get on running this code from your IDE.

Code

In this solution we're using Pandas library.

Pandas Dataframe to JSON add JSON Object Name

PythondotLines of Code : 26dotLicense : Strong Copyleft (CC BY-SA 4.0)

Dependent Libraries : 
import pandas as pd
import json 

data = [{'itemID': 0, 'itemprice': 100}, {'itemID': 1, 'itemprice': 200}]
data = pd.DataFrame(data)

pd_json = data.to_json(orient='records') 

new_collection = [] # store our reformed records

# loop over parsed json, and reshape it the way we want
for record in json.loads(pd_json):
    nested = {'transactionLines': [record]} # matching specs of question
    new_collection.append(nested)
    
new_json = json.dumps(new_collection) # convert back to json str

print(new_json)

[
 {"transactionLines": [{"itemID": 0, "itemprice": 100}]}, 
 {"transactionLines": [{"itemID": 1, "itemprice": 200}]}
]

Instructions

Follow the steps carefully to get the output easily.

  1. Install pandas on your IDE(Any of your favorite IDE).
  2. Create a new python file(eg.test.py).
  3. Copy the snippet using the 'copy' and paste it in that python file in your IDE.
  4. Run the file to generate the output.


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


I found this code snippet by searching for 'Pandas Dataframe to JSON add JSON Object Name' in kandi. You can try any such use case!

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 PyCharm 2021.3.
  2. The solution is tested on Python 3.9.7.
  3. Pandas version-v1.5.2.


Using this solution, we are able to convert pandas dataframe to json with simple steps. This process also facilities an easy way to use, hassle-free method to create a hands-on working version of code which would help us to convert pandas dataframe to json.

Dependent Library

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'.

                      Support

                      1. For any support on kandi solution kits, please use the chat
                      2. For further learning resources, visit the Open Weaver Community learning page.


                      See similar Kits and Libraries

                      Open Weaver – Develop Applications Faster with Open Source

                      kandi

                      Community and Support

                      Company

                      Follow

                      • © 2023 Open Weaver Inc.