I understand that, hope that is clear for the user...
My comment was more about the in_set function.
This is also the reason i often directly put it into a pandas data frame.
Will help with query and filtering data without constant for loops, not always that easy and assume this in not something you want in your library but the caller who is using it.
I'm allergic to pandas, it just doesn't sit right with me. I'll use numpy instead whenever I need more advanced filtering, but I'll try to limit my use of it in this package to keep dependencies as small as possible.
Anyway, thanks again for the feedback, its much appreciated. Next time I'll try to add @commentrewarder so that I can give back something for the feedback (my vote here wont pass the dust treshold alone)
No problem, just love to see others using python and sharing their knowledge and journey.