So, here I did got my answer but instead of printing it once, It is printing 7 times. Output userID,Is salary credited before 5th,Avg Salary of last 3 months,Avg Salary of last 6 months,Avg Balance before salary of last 3 months,Avg Balance before salary of last 6 monthsĦ79d3bad-155e-4b39-9ff7-7d564f408942,Yes,15453.33,15290.5,113.15,105.22 The exported file’s name is the streaming.csv file, in the same directory as the export.json file.Following is my json file input Ĭode with open('/Users/vrindabv/Documents/PycharmProjects/BankStatementEngine/test.json', "r") as f:į = csv.writer(open("/Users/vrindabv/Documents/PycharmProjects/BankStatementEngine/test.csv", "w"))į.writerow()į.writerow(, x,
So that is why the returning value here is None. In this case, we don’t need to return any data because we are exporting the file. Let’s say we are exporting in the same directory as the export.json file. To do that, we need to provide the export path to create a CSV file. Let’s convert Pandas object to CSV data and print it in the console. Repeat the above steps for both the nested files and then follow either example 1 or example 2 for conversion. Step 3: Convert the flattened dataframe into CSV file. Step 2: Flatten the different column values using pandas methods. Let’s transform the JSON string to Pandas object. Step 1: Load the nested json file with the help of json.load () method. I am assuming that the export.json file is in the same directory as your coding file. Pandas allow you to convert the list of lists to DataFrame and specify the column names separately.Ī JSON parser transforms a JSON text into another representation must accept all texts that conform to the JSON grammar. Parsing of the JSON Dataset using pandas is much more convenient.
Pandas read_json() is an inbuilt function that converts a JSON string to a pandas object. Step 2: Read json and transform it into Pandas object That means, when we convert it into a pandas object, the index would be 0, 1, 2, 3, 4, and header columns will be Netflix and Quibi. In the above file, you can see that the keys are index.
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