[Request] Can you add attackToExcel.get_stix_data_from( "/path/to/export/folder") to make loading data much faster? Or some other more efficient cache file format? about mitreattack-python

[jt0dd]

Oh I should've suggested, I guess, Python's pickling feature rather than Parquet, which is more optimal for very large and diverse data structures. I only have a year of Python experience, so I'd forgotten it was the right option here. Nonetheless, I still think caching the data in a file should be a built-in option in the library rather than the user needing to do it manually. I could understand if the maintainers of the project feel differently; it's not that hard to cache with pandas.DataFrame.to_pickle. Just my suggestion / opinion.