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ENH: Add support to PANDAS_GBQ_CREDENTIALS_FILE (#86) #87

Merged
merged 1 commit into from
Sep 13, 2017
Merged

ENH: Add support to PANDAS_GBQ_CREDENTIALS_FILE (#86) #87

merged 1 commit into from
Sep 13, 2017

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jonathansp
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@codecov-io
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codecov-io commented Sep 12, 2017

Codecov Report

Merging #87 into master will decrease coverage by 45.4%.
The diff coverage is 27.27%.

Impacted file tree graph

@@             Coverage Diff             @@
##           master      #87       +/-   ##
===========================================
- Coverage   73.61%   28.21%   -45.41%     
===========================================
  Files           4        4               
  Lines        1554     1563        +9     
===========================================
- Hits         1144      441      -703     
- Misses        410     1122      +712
Impacted Files Coverage Δ
pandas_gbq/tests/test_gbq.py 27.8% <16.66%> (-55.2%) ⬇️
pandas_gbq/gbq.py 19.66% <40%> (-55.9%) ⬇️

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Thanks @jonathansp ! Please could you also create an entry in the changelog? https://github.com/pydata/pandas-gbq/blob/master/docs/source/changelog.rst

As an example,

- Environment variable ``PANDAS_GBQ_CREDENTIALS_FILE`` can now be used to override the default location where the BigQuery user account credentials are stored. (:issue:`86`)

getting user credentials.
getting user credentials. A file named bigquery_credentials.dat will
be created in current dir. You can also set PANDAS_GBQ_CREDENTIALS_FILE
environment variable so as to define a specific path to storage this
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storage->store

@jonathansp
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Done.

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Thanks @jonathansp !

@parthea parthea merged commit dbfb4e9 into googleapis:master Sep 13, 2017
@jonathansp
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Thanks, @parthea, we really appreciate your work. Do you have a release plan for this change?

@andrelu
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andrelu commented Sep 18, 2017

Thanks, @parthea, we really appreciate your work. Do you have a release plan for this change?
+up

@parthea
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parthea commented Sep 19, 2017

@jonathansp I'm hoping to create a new release once #83 is merged (pending approval). It would be great to get your feedback on that PR.

In the interim while we are preparing for the next release, you could install the latest master using:
pip install https://github.com/pydata/pandas-gbq/archive/master.zip

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4 participants