This repository was archived by the owner on Mar 13, 2026. It is now read-only.
This repository was archived by the owner on Mar 13, 2026. It is now read-only.
pandas-gbq handles nulls in numeric columns differently from pandas #174
Pandas encodes missing / null data as NaN in numeric columns.
pandas-gbq expects the type of a column containing Nulls to be object.
https://github.com/pydata/pandas-gbq/blob/f301442082bab62c793b6a80cf00c03f97938609/tests/system.py#L295-L302
Shouldn't pandas-gbq align with the choice of pandas in this case?