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. PdObj.to_csv('streaming.csv', index=False) We are exporting in the same directory as the export.json file. ![]() We need to provide the export path to create a CSV file. ![]() We have disabled the index because we don’t need an index in CSV data. PdObj = pd.read_json('export.json', orient='index') Let’s convert Pandas object to CSV data and print it in the console. The JSON text is done through quoted-string, which contains the value in key-value mapping within įrom the output, we can say that we have transformed the json string into a Pandas object. To use json in Python, we must import the json package in Python script. ![]() The first step to convert json to csv is to read json data using the Pandas read_json() function and then convert it to csv using the to_csv() function.
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