Pandas can read and write data stored in the JavaScript Object Notation (JSON) format. This is one of my favorites, due to its ability to be used across platforms and with many programming languages.
To demonstrate saving as JSON, we will first save the Excel data we just read into a JSON file and examine the contents:
JSON-based data can be read with the pd.read_json() function:
Note the two slight differences here, caused by the reading/writing of data from JSON. First, the columns have been reordered alphabetically. Second, the index for DataFrame, although containing content, is sorted as a string. These issues can be fixed easily, but they will not be covered here for brevity.
