google-cloud-python
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Google Cloud Client Library for Python
**Is your feature request related to a problem? Please describe.** I'm back again, after submitting googleapis/python-bigquery-pandas#474 and googleapis/python-bigquery-pandas#476, as we're trying to shift from using pd.read_sql_query to using pandas_gbq.read_gbq ....
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Hi, after checking out the `pandas_gbq.read_gbq` call parametrization I see that I can supply `configuration={'dry_run': True}` to make the query job to be a dry run. However it will still...
If on a remote server (e.g. using `auth_local_webserver=False`), then there's a good chance the code is running on a shared machine (e.g. a VM or Colab notebook). In these cases,...
The Float64Dtype more closely matches the BigQuery semantics. Ideally we'd allow folks to use this to avoid the slight data loss of mapping both NULL and NaN to NaN with...
`dtypes_backend` options: * `"default"` (current "mixed" behavior, where most extension dtypes are used but not Float64Dtype or StringDtype) -- edit: might want to check `dtype_backend` in pandas global options (per...
**Is your feature request related to a problem? Please describe.** I'd like to be able to control when the DataFrame Index/MultiIndex is included in the serialized BigQuery table. **Describe the...
I get a `NotFound` error where pandas-gbq has tried to send a query with an empty string as the project ID. This could be improved to show a better error...
#### Environment details - OS type and version: macOS, Ventura 13.5.2. - Python version: `python --version` 3.10.12 - pip version: `pip --version` pip 23.2.1 from /Users/awd/mambaforge/envs/AMPMatrixRecovery/lib/python3.10/site-packages/pip (python 3.10) - `pandas-gbq`...
The BigQuery Storage API accepts a `row_restriction` parameter. It'd be nice to be able to plumb that through to the API. See: https://cloud.google.com/bigquery/docs/reference/storage/rpc/google.cloud.bigquery.storage.v1#google.cloud.bigquery.storage.v1.ReadSession.TableReadOptions.FIELDS.string.google.cloud.bigquery.storage.v1.ReadSession.TableReadOptions.row_restriction For related work, see "filters" in pandas...