It is easy to convert a CSV file into Database TableĮvery file Format has its own speciality, In some cases you would prefer using JSON instead of CSV.CSV is easy to import into an Excel Spread Sheet.There are many reasons you might need the conversion of a JSON file into a CSV file The reason why you would convert a JSON file into a CSV file Large data sets are also often in a CSV format. In most data processing applications, we need CSV format. What is a CSV?ĬSV stands for Comma-separated values and is one of the most popular formats for representing structured data. We use JSON format because it is easy to work with and is simple to deal with JSON data.Īlternative to the JSON format is XML, which was also used in the past and is s till in use. It is one of the standards in, Reading data from a server through API or sending data to the server. JSON stands for JavaScript Object Notation, is a standard format for data representation that is based on JavaSript object Syntax. In this article, We will discuss differnt methods of conversion JSON file into CSV file in Python. But what if that data is in the form of JSON and you want to convert it to a CSV file in Python?

Data available for processing are most often in the form of a CSV file.

I'm looking for a more elegant solution to achieve this with fewer lines of code.Īttached is a sample output JSON for reference.When you are working with data in python, you will most frequently see JSON files and CSV files.

Creating separate code for each of these columns seems redundant and inefficient. # Apply the function to each row of the DataFrameĭf_final = pd.concat(, axis=1)ĭf_final.to_csv('resul.csv', index=False)Īlthough I have successfully created separate columns for some nested data, there are still other nested values within these columns. # Custom function to extract values from JSON objects Max_objects = max(len(item_list) for item_list in df_item) # Determine the maximum number of JSON objects in a cell My goal is to get a csv with all the columns inside the json, and to do this I have to create single columns for each nested index inside the JSON.Ĭredentials = ' for i in range(max_items) for key in keys] I have a nested json output from an API request.

Python json csv