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Fix uncaught OutOfBounds in array_to_datetime #19612

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merged 8 commits into from
Feb 11, 2018

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jbrockmendel
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The call to convert_datetime_to_tsobject has a check_dts_bounds in it. One of the usages in array_to_datetime gets that right, the other misses it.

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pep8speaks commented Feb 9, 2018

Hello @jbrockmendel! Thanks for updating the PR.

Cheers ! There are no PEP8 issues in this Pull Request. 🍻

Comment last updated on February 10, 2018 at 18:15 Hours UTC

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codecov bot commented Feb 9, 2018

Codecov Report

Merging #19612 into master will not change coverage.
The diff coverage is n/a.

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@@           Coverage Diff           @@
##           master   #19612   +/-   ##
=======================================
  Coverage   91.59%   91.59%           
=======================================
  Files         150      150           
  Lines       48807    48807           
=======================================
  Hits        44704    44704           
  Misses       4103     4103
Flag Coverage Δ
#multiple 89.96% <ø> (ø) ⬆️
#single 41.73% <ø> (ø) ⬆️

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import pandas.util.testing as tm


class TestArrayToDatetime(object):
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hmm this should be in pandas/tests/indexes/datetimes/test_tools.py. I know you are ceating new locations is fine. but would rather move all of tools testing there (in a new PR).

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jreback commented Feb 10, 2018

does this have a referenced issue? needs a whatsnew note

@jreback jreback added the Datetime Datetime data dtype label Feb 10, 2018
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does this have a referenced issue?

None that I found.

@jreback jreback added this to the 0.23.0 milestone Feb 11, 2018
@jreback jreback merged commit efce492 into pandas-dev:master Feb 11, 2018
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jreback commented Feb 11, 2018

thanks!

@jbrockmendel jbrockmendel deleted the coerce branch February 11, 2018 21:36
harisbal pushed a commit to harisbal/pandas that referenced this pull request Feb 28, 2018
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3 participants