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 You have to convert the JSON data into a Python dictionary using the ‘load’ method. To convert any JSON file to a CSV file using Python programming language we have to make JSON keys as headers to convert it into a CSV file.
And as someone kindly commented and pointed out it appears i am iterating over keys instead of the different dictionaries, and this is where I get stuck because im not sure what to do? From my understanding it looks like the JSON is split into 3 different arrays with JSON object for each, but that does not appear to be the case according to the structure? I apologize for the length of the code, but I want some resemblance of context to what i am trying to accomplish.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, 1 Does this answer your question Parsing a JSON string which was loaded from a CSV using Pandas ftorre yesterday ftorre, it's a different case here has you can see this json has few arrays elements here like 'ServicesList' which need to be converted as csv. Returns the following error: TypeError: string indices must be integers. The code im using to try to do this: f = open('output.json') I wont describe the functionality in too much detail since I have reasonable docstrings for that. "delivery_point_barcode": "997059901010",Īfter storing the API output the trouble is trying to parse the returned output (Sample output) into a CSV format. Simply take a JSON file as input and convert the data in it into a CSV file.
R = requests.post(url, data=dict_ready, headers=headers) Keep in mind, JSON isn’t the only format available for this kind of work, but XML and YAML are probably the only other ones worth mentioning in the same breath. Here is my current code for reference: import pyodbcĬonn = nnect('DSN=DSN', autocommit=True) This one’s gonna be a breeze So, we use JSON to store and exchange data Yup, you got it It’s nothing more than a standardized format the community uses to pass data around. This one’s gonna be a breeze So, we use JSON to store and exchange data Yup, you got it It’s nothing more than a standardized format the community uses to pass data around. I am currently trying to convert a JSON output from an API request to a CSV format so i can store the results into our database.
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