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Suggestion: Option to normalize treatment of missing values #512

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rosensama opened this issue Dec 6, 2021 · 0 comments
Open

Suggestion: Option to normalize treatment of missing values #512

rosensama opened this issue Dec 6, 2021 · 0 comments

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@rosensama
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rosensama commented Dec 6, 2021 •
edited

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.

Anyways, thanks for the useful tool.
@hugovk hugovk changed the title SUGGESTION - Offer optoin to normalize treatment of missing values Suggestion: Option to normalize treatment of missing values Dec 6, 2021
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@rosensama