Convert CSV to JSON file in python

Above csv file which contains nearly 2000 rows.

I want to parse CSV file line by line and convert it to JSON and send over websocket.

I found some code online which converts CSV to JSON as follows:

import csv
import json

csvfile = open('file.csv', 'r')
jsonfile = open('file.json', 'w')

fieldnames = ("FirstName","LastName","IDNumber","Message")
reader = csv.DictReader( csvfile, fieldnames)
for row in reader:
    json.dump(row, jsonfile)
    jsonfile.write('\n')

But the problem with above code is that we need to mention the field names to parse the CSV. Since I have more than 2000 rows, it is not a feasible solution.

Can anyone suggest how to parse CSV file line by line and convert it into JSON without specifying fieldnames?

Python CSV to JSON

To convert CSV to JSON in Python, follow these steps:

1. Initialize a Python List.
2. Read the lines of CSV file using csv.DictReader() function.
3. Convert each line into a dictionary. Add the dictionary to the Python List created in step 1.
4. Convert the Python List to JSON String using json.dumps().
5. You may write the JSON String to a JSON file.

data.csv

• For the test I made 100.000 lines in a csv file with copy/paste, and the whole conversion takes about half a second with Apple's M1 Chip while the presented example took only 0.0005 seconds.

column_1,column_2,column_3
value_1_1,value_1_2,value_1_3
value_2_1,value_2_2,value_2_3
value_3_1,value_3_2,value_3_3

Python Program

import csv 
import json
import time

def csv_to_json(csvFilePath, jsonFilePath):
    jsonArray = []
      
    #read csv file
    with open(csvFilePath, encoding='utf-8') as csvf: 
        #load csv file data using csv library's dictionary reader
        csvReader = csv.DictReader(csvf) 

        #convert each csv row into python dict
        for row in csvReader: 
            #add this python dict to json array
            jsonArray.append(row)
  
    #convert python jsonArray to JSON String and write to file
    with open(jsonFilePath, 'w', encoding='utf-8') as jsonf: 
        jsonString = json.dumps(jsonArray, indent=4)
        jsonf.write(jsonString)
          
csvFilePath = r'data.csv'
jsonFilePath = r'data.json'

start = time.perf_counter()
csv_to_json(csvFilePath, jsonFilePath)
finish = time.perf_counter()

print(f"Conversion 100.000 rows completed successfully in {finish - start:0.4f} seconds")

output: data.json

Conversion 100.000 rows completed successfully in 0.5169 seconds

[
    {
        "column_1": "value_1_1",
        "column_2": "value_1_2",
        "column_3": "value_1_3"
    },
    {
        "column_1": "value_2_1",
        "column_2": "value_2_2",
        "column_3": "value_2_3"
    },
    {
        "column_1": "value_3_1",
        "column_2": "value_3_2",
        "column_3": "value_3_3"
    }
]