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Error handling for boolean columns with nulls/missing values using as_pandas() from PandasCursor #100
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I'm getting an error:
Bool column has NA values in column 31
for cases where I'm trying to do a quickSELECT * 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.The text was updated successfully, but these errors were encountered: