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CLN: Use to_dataframe to download query results. #247

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Merged
merged 19 commits into from
Feb 23, 2019
Merged

CLN: Use to_dataframe to download query results. #247

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f26e390
CLN: Use `to_dataframe` to download query results.
tswast Jan 25, 2019
7043501
Supply expected dtypes to to_dataframe()
tswast Feb 8, 2019
b9f931d
Bump miniimum google-cloud-bigquery version for dtypes argument.
tswast Feb 8, 2019
f805dba
Update tests to match dtypes from to_dataframe().
tswast Feb 9, 2019
275ea26
Cast to correct dtype in empty dataframes.
tswast Feb 12, 2019
90eb9fe
Blacken
tswast Feb 12, 2019
013b00f
Blacken benchmark.
tswast Feb 12, 2019
5a526c0
Remove timezone from datetime tests.
tswast Feb 12, 2019
d8e3b99
Blacken tests.
tswast Feb 12, 2019
1e4009a
Update docs for minimum google-cloud-bigquery version.
tswast Feb 12, 2019
827a065
Update version number in unit tests.
tswast Feb 15, 2019
159bda0
Update dependencies for tests.
tswast Feb 15, 2019
0ecce9b
Fix lint error.
tswast Feb 16, 2019
b80cf5c
Specify column order on empty DataFrame.
tswast Feb 16, 2019
20dd01a
Don't wipe out conda dependencies.
tswast Feb 16, 2019
59a9328
Add pydata-google-auth to conda deps.
tswast Feb 16, 2019
d7c1ca5
Document change in behavior of TIMEZONE columns.
tswast Feb 19, 2019
5b1bd0a
Use timezone-naive datetime64 dtype for TIMESTAMP
tswast Feb 22, 2019
094058b
Blacken
tswast Feb 22, 2019
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Remove timezone from datetime tests.
  • Loading branch information
@tswast
tswast committed Feb 15, 2019
commit 5a526c0699989a936ea4685ccc17462ed50124ed
4 changes: 2 additions & 2 deletions tests/system/test_gbq.py
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Original file line number Diff line number Diff line change
Expand Up @@ -344,7 +344,7 @@ def test_should_properly_handle_datetime_unix_epoch(self, project_id):
tm.assert_frame_equal(
df,
DataFrame(
{"unix_epoch": ["1970-01-01T00:00:00.000000Z"]},
{"unix_epoch": ["1970-01-01T00:00:00"]},
dtype="datetime64[ns]",
),
)
Expand All @@ -362,7 +362,7 @@ def test_should_properly_handle_arbitrary_datetime(self, project_id):
DataFrame(
{
"valid_timestamp": [
np.datetime64("2004-09-15T05:00:00.000000Z")
np.datetime64("2004-09-15T05:00:00")
]
}
),
Expand Down