Update pandas.read_gbq docs to point to pandas-gbq#18548
Update pandas.read_gbq docs to point to pandas-gbq#18548jreback merged 3 commits intopandas-dev:masterfrom
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Codecov Report
@@ Coverage Diff @@
## master #18548 +/- ##
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- Coverage 91.35% 91.33% -0.02%
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Files 164 164
Lines 49802 49802
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- Hits 45496 45487 -9
- Misses 4306 4315 +9
Continue to review full report at Codecov.
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Codecov Report
@@ Coverage Diff @@
## master #18548 +/- ##
==========================================
- Coverage 91.35% 91.33% -0.02%
==========================================
Files 164 164
Lines 49802 49802
==========================================
- Hits 45496 45487 -9
- Misses 4306 4315 +9
Continue to review full report at Codecov.
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| Google BigQuery API Client Library v2 for Python is used. | ||
| Documentation is available `here | ||
| <https://developers.google.com/api-client-library/python/apis/bigquery/v2>`__ | ||
| This function requires the `pandas-gbq package |
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So need to have a section in the pandas-gbq docs on how to deal with < 0.3.0 (IOW list the deps and such).
Also I would remove the referenes here tot the google cloud library itself, you just need to install pandas-gbq, which depending the installed version has different requirements.
also there is a referene in install.rst to pandas-gbq, see if it needs updating.
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Done, done, and done.
The `pandas-gbq` package must be installed to use `pandas.read_gbq`. Also, with soon-to-be-release version 0.3.0 of `pandas-gbq` the Google Cloud client library is used instead of the Google API library. Also, standard SQL is no longer beta. In fact it is highly recommended over using legacy SQL.
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Since this PR no longer talks about explicit dependencies that |
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thanks @tswast |
(cherry picked from commit 5cd5e3b)
(cherry picked from commit 5cd5e3b)
3 participants
The
pandas-gbqpackage must be installed to usepandas.read_gbq.Also, with soon-to-be-release version 0.3.0 of
pandas-gbqthe GoogleCloud client library is used instead of the Google API library.
Also, standard SQL is no longer beta. In fact it is highly recommended
over using legacy SQL.
N/A- closes #xxxxN/A(docs change only) - tests added / passedgit diff upstream/master -u -- "*.py" | flake8 --diffN/A(docs change only) - whatsnew entry