Using jq, how can arbitrary JSON encoding an array of shallow objects be converted to CSV? There are plenty of Q&As on this site that cover specific data models which hard-code the fields, but
For example, the Power BI activities log outputs JSON that contains different members depending on variables like what activities occurred in the requested data or what features were available at the time.
Then with the dataframe in a table format, it's easy to convert to CSV with the "df.to_csv ()" dataframe object method. This should work with deeply nested JSON, being able to normalize all of it into rows by the logic described above. I hope this will help someone, someday. Just trying to give back to this awesome community.
I'm working with JSON/CSV files in my ASP.NET Web API project and tried using the CSVHelper and ServiceStack.Text libraries to generate a CSV, but couldn't make it work. The JSON file containing an...
The CSV rows are generated by iterating through each JSON object in the input array. For each object, the function maps the keys array to their corresponding values in the object.
I have an url that returns json object. I need to have an button with onClick function that will call that API, get the json object, convert it to CSV and allow user to download it on thier local m...
Convert the Python List to JSON String using json.dumps(). 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.
