fix: handle unsupported types and empty results in describe#2506
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fix: handle unsupported types and empty results in describe#2506
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shuoweil
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| def test_describe_empty_dataframe_returns_empty_dataframe(session): | ||
| df = session.read_gbq("SELECT 1 AS int_col LIMIT 0") | ||
| df = df.drop(columns=["int_col"]) |
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nit: Can we do df = bpd.DataFrame() for an empty DataFrame?
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Thanks for the suggestion, the testcase has been updated.
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PR created by the Librarian CLI to initialize a release. Merging this PR will auto trigger a release. Librarian Version: v0.8.3 Language Image: us-central1-docker.pkg.dev/cloud-sdk-librarian-prod/images-prod/python-librarian-generator@sha256:160860d189ff1c2f7515638478823712fa5b243e27ccc33a2728669fa1e2ed0c <details><summary>bigframes: v2.38.0</summary> ## [v2.38.0](v2.37.0...v2.38.0) (2026-03-16) ### Features * Add `bigframes.bigquery.rand()` function (#2501) ([5c43efb](5c43efb7)) * add `df.bigquery` pandas accessor (#2513) ([91b6c24](91b6c245)) * Add str, dt accessors to pd.col Expression objects (#2488) ([ce5de57](ce5de570)) * add bigquery.ml.get_insights function (#2493) ([d29a609](d29a6095)) * use EUC for AI IF, CLASSIFY, and SCORE when connection is not provided (#2507) ([fe94910](fe94910a)) ### Bug Fixes * handle unsupported types and empty results in describe (#2506) ([2326ad6](2326ad6a)) * no longer automatically use anywidget in the `%%bqsql` magics (#2504) ([43353e2](43353e2b)) ### Documentation * Fix typo in ExperimentOptions class docstring (#2498) ([077cb2e](077cb2eb)) * add notebooks to user guide page (#2505) ([5cf3788](5cf37888)) </details>
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The .describe() method attempts to compute metrics like mean, max, and unique on all columns. For MM complex types (structs representing images/videos), running COUNT(DISTINCT column) or mathematical aggregates is physically prohibited by BigQuery and raises syntax/type validation errors.
We limit aggregations on OBJ_REF_DTYPE and JSON columns to only a basic .count(), skipping unhashable/unsupported summary metrics.
Fixes #<452681068> 🦕