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mrocklin / dask / 2174 / 1
93%
master: 94%

Build:
Build:
LAST BUILD BRANCH: astype-passthrough
DEFAULT BRANCH: master
Ran 14 Feb 2018 11:12PM UTC
Files 96
Run time 486min
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14 Feb 2018 08:15PM UTC coverage: 92.523%. First build
PYTHON=2.7 NUMPY=1.12.1 PANDAS=0.19.2 TEST='true' LINT='true' COVERAGE='true' PARALLEL='false' XTRATESTARGS= TEST_IMPORTS='false'

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TomAugspurger
allow column assignment of pandas datetime to dask dataframe (#3164)

* replace np.isscaler with pd.api.types.is_scalar per Tom/Matt's advice

* update changelog

* add test

* fix changelog update - move note to correct session

* fix linting issues

* pd.datetime to pd.Timestamp, and spacing change as requested

14490 of 15661 relevant lines covered (92.52%)

0.93 hits per line

Source Files on job 2174.1 (PYTHON=2.7 NUMPY=1.12.1 PANDAS=0.19.2 TEST='true' LINT='true' COVERAGE='true' PARALLEL='false' XTRATESTARGS= TEST_IMPORTS='false')
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