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BigQuery DataFrames

Results 142 python-bigquery-dataframes issues
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Some client libraries support additional HTTP headers per-request via the "metadata" parameter. For the client methods we use that don't provide such a mechanism (e.g. google-cloud-bigquery and some google-cloud-bigquery-storage APIs),...

type: feature request
api: bigquery

Thank you for opening a Pull Request! Before submitting your PR, there are a few things you can do to make sure it goes smoothly: - [ ] Make sure...

api: bigquery
size: xl

Thanks for stopping by to let us know something could be better! **PLEASE READ**: If you have a support contract with Google, please create an issue in the [support console](https://cloud.google.com/support/)...

type: feature request
api: bigquery

Bumps [certifi](https://github.com/certifi/python-certifi) from 2024.6.2 to 2024.7.4. Commits bd81538 2024.07.04 (#295) 06a2cbf Bump peter-evans/create-pull-request from 6.0.5 to 6.1.0 (#294) 13bba02 Bump actions/checkout from 4.1.6 to 4.1.7 (#293) e8abcd0 Bump pypa/gh-action-pypi-publish from...

api: bigquery
dependencies
size: u

Bumps [requests](https://github.com/psf/requests) from 2.31.0 to 2.32.0. Release notes Sourced from requests's releases. v2.32.0 2.32.0 (2024-05-20) 🐍 PYCON US 2024 EDITION 🐍 Security Fixed an issue where setting verify=False on the...

api: bigquery
dependencies
size: u

It would be great to offer Polars support, it is currently half as popular as Pandas, and generally work better for large datasets. Polars is bound to replace most data-scientist...

type: feature request
api: bigquery

…gle column ref Thank you for opening a Pull Request! Before submitting your PR, there are a few things you can do to make sure it goes smoothly: - [...

api: bigquery
size: m

Bumps [urllib3](https://github.com/urllib3/urllib3) from 2.0.7 to 2.2.2. Release notes Sourced from urllib3's releases. 2.2.2 πŸš€ urllib3 is fundraising for HTTP/2 support urllib3 is raising ~$40,000 USD to release HTTP/2 support and...

api: bigquery
dependencies
size: u

Very simple in pandas-gbq: ```python from google.oauth2 import service_account import pandas_gbq credentials = service_account.Credentials.from_service_account_file(' path/to/key.json' ) df = pandas_gbq.read_gbq(query, project_id="YOUR-PROJECT-ID", credentials=credentials) ```

type: feature request
api: bigquery

**Is your feature request related to a problem? Please describe.** It's not currently possible to directly add `datetime.timedelta` objects to timestamp Series because we don't currently have a data type...

type: feature request
api: bigquery