![]() ![]() 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.You may write the JSON String to a JSON file.Convert the Python List to JSON String using json.dumps().Add the dictionary to the Python List created in step 1. Read the lines of CSV file using csv.DictReader() function.To convert CSV to JSON in Python, follow these steps: You can convert a CSV file to a JSON file by using the following five steps: Import the csv and json libraries. This post will list the most used methods to convert CSV to JSON string using Python: Method 1: Using df.tojson () Function. The json. Since I have more than 2000 rows, it is not a feasible solution.Ĭan anyone suggest how to parse CSV file line by line and convert it into JSON without specifying fieldnames? Answer by Milovan Tomašević Python CSV to JSON To make it easier to work with data, the CSV file is converted into JSON using different methods in Python. Convert CSV File to JSON File in Python Using the json.dump () Method in Python. write ( ' \n ' )īut the problem with above code is that we need to mention the field names to parse the CSV. Line 2 does the following: converts the DataFrame to a JSON format formats the output by. DictReader ( csvfile, fieldnames ) for row in reader : json. tojson() method converts a DataFrame object to a JSON string. Import csv import json csvfile = open ( 'file.csv', 'r' ) jsonfile = open ( 'file.json', 'w' ) fieldnames = ( "FirstName", "LastName", "IDNumber", "Message" ) reader = csv. Steps to Convert CSV to JSON String using Python Step 1: Prepare the CSV File Prepare the CSV file that you’d like to convert to a JSON string.
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