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Fix scalar_coerce for nan->nat #1272

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merged 1 commit into from
Oct 13, 2015

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This bug also prevented me from taking the min of an empty series of datetime64 in pandas when using the blaze server because the server was trying to scaler_coerce the nan into a datetime.datetime.

@llllllllll llllllllll changed the title DOC: add whatsnew Fix scalar_coerce for nan->nat Oct 12, 2015
@jreback
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jreback commented Oct 12, 2015

you should conditionally check results based on the pandas version

@cpcloud
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cpcloud commented Oct 12, 2015

you should conditionally check results based on the pandas version

what's the reason for doing this?

@cpcloud cpcloud added this to the 0.9.0 milestone Oct 12, 2015
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Should we be checking the output because of the reduction fix that was just merged? I still think that it is reasonable to coerce an explicitly passed nan just like pd.Timestamp does.

llllllllll added a commit that referenced this pull request Oct 13, 2015
@llllllllll llllllllll merged commit e1d2e06 into blaze:master Oct 13, 2015
@llllllllll llllllllll deleted the coerce_scalar-nan-to-datetime branch October 13, 2015 13:06
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3 participants