We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
As far as I see pandas-gbq currently doesn't support passing labels.
The underlying google-cloud-bigquery package technically supports this both for queries as well as for tables from what I can see for example here.
Would this be an option for you to implement / support? Or is it already supported and I'm not finding it in the documentation?
Thanks for your support!
The text was updated successfully, but these errors were encountered:
For queries, you should be able to fall back to the REST API (https://cloud.google.com/bigquery/docs/reference/rest/v2/Job#JobConfiguration.FIELDS.labels) by populating the configuration argument.
configuration
https://github.com/pydata/pandas-gbq/blob/d251db03b159447331ac9ae63e13d295d75bad70/tests/system/test_gbq.py#L595-L631
For load jobs, #313 (comment) is currently open for this support.
Sorry, something went wrong.
Great, thanks! Unfortunately we rely mainly on to_gbq, but good to know this is already opened.
to_gbq
Will close this for now until experiencing problems.
Thanks for your support! :-)
No branches or pull requests
As far as I see pandas-gbq currently doesn't support passing labels.
The underlying google-cloud-bigquery package technically supports this both for queries as well as for tables from what I can see for example here.
Would this be an option for you to implement / support? Or is it already supported and I'm not finding it in the documentation?
Thanks for your support!
The text was updated successfully, but these errors were encountered: