convert csv to json python

import pandas as pd
df = pd.read_json (r'C:\Users\Ron\Desktop\Test\Product_List.json')
export_csv = df.to_csv (r'C:\Users\Ron\Desktop\Test\New_Products.csv', index = None, header=True)

import pandas as pd
df = pd.read_csv (r'Path where the CSV file is saved\File Name.csv')
df.to_json (r'Path where the new JSON file will be stored\New File Name.json')

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')

import json
import csv
import requests

response = requests.get('https://statsapi.web.nhl.com/api/v1/teams')
json_data = response.json()

def get_leaves(item, key=None):
    if isinstance(item, dict):
        leaves = {}
        for i in item.keys():
            leaves.update(get_leaves(item[i], i))
        return leaves
    elif isinstance(item, list):
        leaves = {}
        for i in item:
            leaves.update(get_leaves(i, key))
        return leaves
    else:
        return {key : item}

# First parse all entries to get the complete fieldname list
fieldnames = set()

for entry in json_data:
    fieldnames.update(get_leaves(entry).keys())

with open('output.csv', 'w', newline='') as f_output:
    csv_output = csv.DictWriter(f_output, fieldnames=sorted(fieldnames))
    csv_output.writeheader()
    csv_output.writerows(get_leaves(entry) for entry in json_data)

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