Currently format_check() and in_standard() have to iterate through standardize_formats.csv once for every format until find a match or test all the formats. It would be more streamline to use pandas: read both into dataframes, drop duplicates from formats, merge, and make a dataframe for any formats that did not match.
In the merge script, once dataframes are being used from the beginning, could add the NARA risk data then instead of reading the merged CSV into a dataframe at the end of the script.
Currently format_check() and in_standard() have to iterate through standardize_formats.csv once for every format until find a match or test all the formats. It would be more streamline to use pandas: read both into dataframes, drop duplicates from formats, merge, and make a dataframe for any formats that did not match.