fix: boolean round-trip test and CSV datetime loading errors#1000
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chalmerlowe merged 3 commits intomainfrom Dec 15, 2025
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- Fix `test_dataframe_round_trip_with_table_schema` failure by expecting `pd.NA` for boolean columns loaded as object, aligning with BigQuery Storage API behavior. - Fix CSV loading failure for extreme datetimes (e.g., year 0001) by introducing `cast_dataframe_for_csv`. This helper forces `isoformat()` string conversion for DATETIME/TIMESTAMP columns, ensuring 4-digit years (e.g., `0001-01-01` instead of `1-01-01`) which prevents BigQuery BadRequest errors.
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- Fix `test_dataframe_round_trip_with_table_schema` failure by expecting `pd.NA` for boolean columns loaded as object, aligning with BigQuery Storage API behavior. - Fix CSV loading failure for extreme datetimes (e.g., year 0001) by introducing `cast_dataframe_for_csv`. This helper forces `isoformat()` string conversion for DATETIME/TIMESTAMP columns, ensuring 4-digit years (e.g., `0001-01-01` instead of `1-01-01`). - `cast_dataframe_for_csv` is robust against non-datetime inputs (falls back to original value) and efficient (batch assigns new columns). - Code formatting applied with `black`.
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PR created by the Librarian CLI to initialize a release. Merging this PR will auto trigger a release. Librarian Version: v0.7.0 Language Image: us-central1-docker.pkg.dev/cloud-sdk-librarian-prod/images-prod/python-librarian-generator@sha256:c8612d3fffb3f6a32353b2d1abd16b61e87811866f7ec9d65b59b02eb452a620 <details><summary>pandas-gbq: 0.32.0</summary> ## [0.32.0](v0.31.1...v0.32.0) (2025-12-15) ### Features * Add support for Python 3.14 (#976) ([89b008d](89b008d8)) ### Bug Fixes * boolean round-trip test and CSV datetime loading errors (#1000) ([d443103](d4431030)) </details>
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This PR fixes two issues causing CI failures:
test_dataframe_round_trip_with_table_schemato correctly handlepd.NAreturned by the connector for nullable boolean values, instead ofNone.cast_dataframe_for_csvto pre-formatDATETIMEandTIMESTAMPcolumns using.isoformat()before CSV serialization. This ensures years before 1000 are zero-padded (e.g.,0001-01-01), avoiding invalid date string errors from BigQuery when loading data.PR created automatically by Jules for task 5793097527839411486 started by @chalmerlowe