The exported file’s name is the streaming.csv file, in the same directory as the export.json 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. To do that, we need to provide the export path to create a CSV file. Let’s convert Pandas object to CSV data and print it in the console. Let’s transform the JSON string to Pandas object. 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. Parsing of the JSON Dataset using pandas is much more convenient. Pandas read_json() is an inbuilt function that converts a JSON string to a pandas object. csvfile open ('test.csv', 'r') jsonfile open ('test2.json', 'w') Next, we convert our CSV file into a dictionary reader csv.DictReader (csvfile) In the final step, we iterate through each row in the reader object and write it out to our new JSON file using the JSON.

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. #df3=df2.apply(pd.Series) print ( 'df3',df3)ĭf3.to_csv( 'out.In the above file, you can see that the keys are index. apply(pd.Series) method on items column is applied, the dictionaries in items column will be used as column headingsĭf3=pd.concat(,axis= 1),df2.apply(pd.Series)],axis= 1) Print ( 'This is the dictionary of SO_users', dict_you_want) Print ( 'These are the keys to dict_you_want',dict_you_want.keys()) I saved this data.json to my working directory in P圜harm IDE. I used the tag –‘python’ and period –‘month’. The data was obtained from Stackexchange API. I want to share how I converted a json (Javascript Object Notation) data into easily readable csv file.

Converting json to csv python