Now, assign the cnt.keys() in the header. Then, use the for loop to fetch the data from the stud_data. Next, we have to open a CSV file for writing in write mode. Next, we will open the JSON file & load its data in the 'data' object. # Opening a CSV file for writing in write modeįirst, we will import the json and csv modules. Since it is a built-in module, you do not need to install it separately. Programmers and developers can also represent the CSV formats recognized by other apps or define their special-purpose CSV formats. Using this, programmers can write this data in the format approved by Excel or read data from excel or CSV files. It is a built-in Python module that implements classes for reading & writing tabular data in CSV structure. These keys will be the headers for the CSV file and the values as descriptive data that remain indented in json. JSON data usually contains data in key-value pairs. The record will contain one or more fields that are comma-separated values. It can store data in plain text ( usually, string & number data type). The structure of a CSV file can be interpreted in a spreadsheet or database format. What are CSV files?ĬSV (Comma Separated Values) is a file format utilized for storing data in a tabular fashion.

In this article, you will learn about the different methods to convert JSON to CSV structure. We can convert a JSON structure into a comma-delimited textual structure. Python supports JSON using its in-built package called json. JSON (JavaScript Object Notation) is a popular data storing and transferring tool used in many server-side programming.

Csv to json python