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This repository was archived by the owner on Mar 13, 2026. It is now read-only.
I am using pandas with BigQuery tables. Because pandas doesn't support boolean missing values, BigQuery BOOLEAN columns become dataframe object columns. I have to use to_gbq() table_schema to convert force those columns back to BOOLEAN.
My dataframe has 62 columns. table_schema has to include every column. It would be nice if I could only pass in the boolean columns in table_schema; for the other columns, to_gbq should default to dataframe column type.
I am using pandas with BigQuery tables. Because pandas doesn't support boolean missing values, BigQuery BOOLEAN columns become dataframe object columns. I have to use to_gbq() table_schema to convert force those columns back to BOOLEAN.
My dataframe has 62 columns. table_schema has to include every column. It would be nice if I could only pass in the boolean columns in table_schema; for the other columns, to_gbq should default to dataframe column type.