A Dataset from an Excel file will store None for any empty cell. In CSV the convention is to not distinguish between ,, and ,"", and treat all empty cells as empty strings. It would be nice to add a feature like that in pandas.read_csv() where ,, is treated as NaN, but None here for symmetry with Excel. I know that toggling the na_filter argument in read_csv() is one way to govern this in pandas.
A Dataset from an Excel file will store
Nonefor any empty cell. In CSV the convention is to not distinguish between,,and,"",and treat all empty cells as empty strings. It would be nice to add a feature like that inpandas.read_csv()where,,is treated asNaN, butNonehere for symmetry with Excel. I know that toggling thena_filterargument inread_csv()is one way to govern this in pandas.Anyways, thanks for the useful tool.