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Error handling for boolean columns with nulls/missing values using as_pandas() from PandasCursor #100

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mzhang13 opened this issue Nov 5, 2019 · 0 comments

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@mzhang13
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mzhang13 commented Nov 5, 2019

I'm getting an error: Bool column has NA values in column 31 for cases where I'm trying to do a quick SELECT * FROM table LIMIT 5 type of query when there are boolean columns containing missing values. I was wondering if there was any way to build in handling for this that would allow me to still pull in the data into a DataFrame for these cases.

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