I then get the error: `sequence expected`įirst, your JSON has nested objects, so it normally cannot be directly converted to CSV. I am using Django and the error I received is: `file' object has no attribute 'writerow'` The exported file’s name is the streaming.csv file, in the same directory as the export.json file.I have a JSON file I want to convert to a CSV file. 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.

Then: df.tocsv () Which can either return a string or write directly to a csv-file. To do that, we need to provide the export path to create a CSV file. readjson converts a JSON string to a pandas object (either a series or dataframe). Let’s convert Pandas object to CSV data and print it in the console. Let’s transform the JSON string to Pandas object. Step 1: Install pandas You could technically use the standard json and csv modules from Python to read the JSON file and write a CSV file, but depending on how your JSON file is structured, it can get complicated, and pandas has some great functions to handle these cases, without mentioning it’s really fast, so that’s what we will use. 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. Learn how to convert filetypes quickly and efficiently in fewer lines of code than one would believe Zck West Tutorials 9 Min Read Python is a powerful toolset for data scientists and developers alike. Parsing of the JSON Dataset using pandas is much more convenient. Convert JSON to CSV in Python Converting JSON to CSV is simple using Pandas DataFrames and convenient file I/O methods. 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.

Converting json to csv python