Is there clean way to compare two separate dataframes in long format (dimension1, dimension2, .... dimensionN, value) ?
I have a pile of csv files, one new published each month, containing accumulated values and I need to show what has been going during each month. Any comment on this much welcome!
EDIT: maybe I pass all the dimensions as as many index levels (multiindex feature of pd.DataFrame) while values are left as pandas columns. it is then easy to make the diff between rows in different columns.