Step 2: Open the CSV file using a file handlerĪ file handler can easily be initiated, there are many ways to do this but we will stick to the safest one i.e. Input function can also be used to display some string while asking for input Input function by default takes input in the form of a string and this is exactly what we need. This can be achieved with the help of the input function. Step 1: Take input the CSV file and the JSON file paths We will approach his problem in various small steps so that we understand the problem thoroughly and easily. It is commonly used for transmitting data in web applications, so whenever there’s a need to send some data from the server to the client, the data is first converted to JSON and then sent to the client so it can be displayed on a web page, or vice versa. JSON is a standard text-based format for representing structured data based on JavaScript object syntax. To convert a json to csv in Pandas, you need to convert a json data to a Python object using the json.loads () function, then convert an object to DataFrame using the pd.DataFrame (data), and use the pd.tocsv () function to convert a pandas data frame to csv.

Why would you want to convert CSV to JSON?

We’ll learn how to use the JSON (JavaScript Object Notation) library of Python and will try to understand the logic behind this conversion. I then get the error: `sequence expected`įirst, your JSON has nested objects, so it normally cannot be directly converted to CSV.In this article, we will convert CSV to JSON using a simple Python script. I am using Django and the error I received is: `file' object has no attribute 'writerow'` df pd.readjson() readjson converts a JSON string to a pandas object (either a series or dataframe). I have a JSON file I want to convert to a CSV file. With the pandas library, this is as easy as using two commands.

Python json to csv