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BigQuery DataFrames

Results 142 python-bigquery-dataframes issues
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Many tests are failing in the presubmit session. ``` nox > python -m pip freeze aiohttp==3.9.1 aiosignal==1.3.1 appdirs==1.4.4 argcomplete==3.2.1 asttokens==2.4.1 asyncmock==0.4.2 atpublic==4.0 attrs==23.2.0 bidict==0.22.1 # Editable Git install with no...

api: bigquery

After fixing failed tests mentioned #337, still have other tests failed: ``` FAILED tests/system/small/test_dataframe.py::test_dataframe_bool_aggregates[all_axis0] - AssertionError: Series.index are different FAILED tests/system/small/test_dataframe.py::test_dataframe_bool_aggregates[any_axis0] - AssertionError: Series.index are different FAILED tests/system/small/test_dataframe.py::test_df_pivot[values2-int64_too-columns2] - AssertionError:...

api: bigquery

Hello there and thanks for this great package! I wonder if you plan to implement all the pandas-related rolling functions as well as the merge_asof merge. These are very powerful...

type: feature request
priority: p2
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: m

I'd like to use flakybot so that we are alerted when we have a test failure https://github.com/googleapis/repo-automation-bots/tree/main/packages/flakybot See these lines from https://github.com/googleapis/synthtool/blob/master/synthtool/gcp/templates/python_library/.kokoro/build.sh ``` # If this is a continuous build,...

type: process
api: bigquery

Dear Google BigFrame Team, I hope this message finds you well. I am writing to discuss a potential collaboration opportunity that could greatly benefit both the BigFrame project and the...

type: question
api: bigquery

Intern Starter Task 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

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: s

- [X] Make sure to open an issue as internal issue: 358459166 - [X] Ensure the tests and linter pass - [X] Code coverage does not decrease (if any source...

api: bigquery
size: m

Currently the user facing functions `remote_function` and `read_gbq_function` have entry points through the `Session` class and `bigframes.pandas` module. Most of the underlying code currently exists in `bigframes.functions.remote_function` which has grown...

api: bigquery
size: xl