In the format analysis script for accessioning (https://github.com/uga-libraries/accessioning-scripts/blob/main/format_analysis_functions.py), the match_nara_risk() function uses pandas to convert the NARA CSV with a delimited column of file extensions into one row per file extension, repeating all other information for each extension. Is that a simpler way to get the by_aip CSV from by_group, instead of calculating them both at the same time?
In the format analysis script for accessioning (https://github.com/uga-libraries/accessioning-scripts/blob/main/format_analysis_functions.py), the match_nara_risk() function uses pandas to convert the NARA CSV with a delimited column of file extensions into one row per file extension, repeating all other information for each extension. Is that a simpler way to get the by_aip CSV from by_group, instead of calculating them both at the same time?