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api: bigqueryIssues related to the googleapis/python-bigquery API.Issues related to the googleapis/python-bigquery API.priority: p2Moderately-important priority. Fix may not be included in next release.Moderately-important priority. Fix may not be included in next release.type: bugError or flaw in code with unintended results or allowing sub-optimal usage patterns.Error or flaw in code with unintended results or allowing sub-optimal usage patterns.
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tests/unit/test_client.py::TestClientUpload::test_load_table_from_dataframe_w_automatic_schema
tests/unit/test_client.py::TestClientUpload::test_load_table_from_dataframe_w_partial_schema
/tmpfs/src/github/python-bigquery/.nox/unit-3-6/lib/python3.6/site-packages/pandas/core/internals/construction.py:703: FutureWarning: Converting timezone-aware DatetimeArray to timezone-naive ndarray with 'datetime64[ns]' dtype. In the future, this will return an ndarray with 'object' dtype where each element is a 'pandas.Timestamp' with the correct 'tz'.
To accept the future behavior, pass 'dtype=object'.
To keep the old behavior, pass 'dtype="datetime64[ns]"'.
subarr = construct_1d_object_array_from_listlike(subarr)
Possible that we already fixed this in the v3 branch?
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api: bigqueryIssues related to the googleapis/python-bigquery API.Issues related to the googleapis/python-bigquery API.priority: p2Moderately-important priority. Fix may not be included in next release.Moderately-important priority. Fix may not be included in next release.type: bugError or flaw in code with unintended results or allowing sub-optimal usage patterns.Error or flaw in code with unintended results or allowing sub-optimal usage patterns.