Convert CSV to JSON using Python

CSV (or Comma Separated Value) files represent data in a tabular format, with several rows and columns. An example of a CSV file can be an Excel Spreadsheet. These files have the extension of .csv, for instance, geeksforgeeks.csv. In this sample file, every row will represent a record of the dataset, and each column will indicate a unique feature variable.

On the other hand, JSON (or JavaScript Object Notation) is a dictionary-like notation which can be used by importing the json package in Python. Every record (or row) is saved as a separate dictionary, with the column names as Keys of the dictionary. All of these records as dictionaries are saved in a nested dictionary to compose the entire dataset. It is stored with the extension .json, for example, geeksforgeeks.json

Refer to the below articles to understand the basics of JSON and CSV.

Converting CSV to JSON

Wewill create a JSON file that will have several dictionaries, each representing a record (row) from the CSV file, with the Key as the column specified. 

Sample CSV File used:






import csv
import json
# Function to convert a CSV to JSON
# Takes the file paths as arguments
def make_json(csvFilePath, jsonFilePath):
    # create a dictionary
    data = {}
    # Open a csv reader called DictReader
    with open(csvFilePath, encoding='utf-8') as csvf:
        csvReader = csv.DictReader(csvf)
        # Convert each row into a dictionary 
        # and add it to data
        for rows in csvReader:
            # Assuming a column named 'No' to
            # be the primary key
            key = rows['No']
            data[key] = rows
    # Open a json writer, and use the json.dumps() 
    # function to dump data
    with open(jsonFilePath, 'w', encoding='utf-8') as jsonf:
        jsonf.write(json.dumps(data, indent=4))
# Driver Code
# Decide the two file paths according to your 
# computer system
csvFilePath = r'Names.csv'
jsonFilePath = r'Names.json'
# Call the make_json function
make_json(csvFilePath, jsonFilePath)



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