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Any date or time value in BQ can be converted to a pandas datetime value. As well as returning dataframes that don't requires as much post-processing, it also reducing the memory footprint of the returned object

I'm not sure whether this will cause any issues around timezones, and whether we need to parse those separately? (though this PR doesn't aim to enable timezone parsing, as long as there's no regression)

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This also closes #174

@max-sixty max-sixty requested a review from tswast September 29, 2018 04:30
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@tswast no rush; ensuring you saw this though

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@tswast gentle ping!

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Thanks!

(Sorry for the slow reply, I was travelling last week.)

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Merging despite #226

@max-sixty max-sixty merged commit b204206 into googleapis:master Oct 10, 2018
@max-sixty max-sixty deleted the parse-dates branch October 10, 2018 17:27
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2 participants