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fix(deps): support pandas 3.0 (prerelease) #998

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tswast merged 4 commits into from
Mar 2, 2026
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fix(deps): support pandas 3.0 (prerelease) #998

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fix(deps): support pandas 3.0 (prerelease)
tswast Dec 9, 2025
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Merge branch 'main' into tswast-pandas-3
tswast Jan 5, 2026
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tswast Jan 5, 2026
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Merge branch 'main' into tswast-pandas-3
tswast Feb 24, 2026
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3 changes: 2 additions & 1 deletion setup.py
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Original file line number Diff line number Diff line change
Expand Up @@ -24,7 +24,8 @@
"setuptools",
"db-dtypes >=1.0.4,<2.0.0",
"numpy >=1.18.1",
"pandas >=1.1.4, <3.0.0",
"pandas >=1.1.4",
"pyarrow >=4.0.0",
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"pyarrow >= 4.0.0",
# See https://arrow.apache.org/release/22.0.0.html
"pyarrow >= 22.0.0; python_version >= '3.14'",
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7 changes: 5 additions & 2 deletions tests/system/test_to_gbq.py
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Expand Up @@ -155,7 +155,7 @@ def test_series_round_trip(
dtype="boolean",
),
"object_col": pandas.Series(
[False, None, True],
[False, pandas.NA, True],
dtype="object",
),
}
Expand Down Expand Up @@ -365,7 +365,10 @@ def test_series_round_trip(
# google-cloud-bigquery versions 1.x and 2.x, but not 3.x.
# https://github.com/googleapis/python-bigquery-pandas/issues/365
"datetime_col": [
datetime.datetime(1, 1, 1),
# CSV loader in BigQuery currently requires leading 0s
# for TIMESTAMP but not DATETIME. See internal issue
# b/467399807.
datetime.datetime(1000, 1, 1),
Comment on lines +368 to +371

@gemini-code-assist gemini-code-assist Bot Dec 9, 2025

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medium

The comment on lines 347-349 is a bit confusing. It states that the CSV loader's requirement for leading zeros applies to TIMESTAMP but not DATETIME. However, this change is made to datetime_col, which is defined as a DATETIME column in the table schema on line 374. Could you please clarify why this change is needed for a DATETIME column, or update the comment for future reference? This would help maintainers understand the reason for this specific test value.

@tswast tswast Dec 9, 2025

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Correct. I use year >= 1000 so that no leading zeros are required.

datetime.datetime(1970, 1, 1),
datetime.datetime(9999, 12, 31, 23, 59, 59, 999999),
],
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