Thanks Mark!
John
On Wed, Feb 8, 2012 at 6:48 PM, Mark Wiebe <mwwi...@gmail.com> wrote:
> Converting between date and datetime requires caution, because it depends
> on your time zone. Because all datetime64's are internally stored in UTC,
> simply casting as in your example treats it in UTC. The 'astype' function
> does not raise an error to tell you that this is problematic, because
> NumPy's default casting for that function has no error policy (yet).
>
> Here's the trouble you can get into:
>
> x = datetime64('2012-02-02 22:00:00', 's')
>
> x.astype('M8[D]')
> Out[19]: numpy.datetime64('2012-02-03')
>
>
> The trouble happens the other way too, because a date is represented as
> midnight UTC. This would also raise an exception, but for the fact that
> astype does no checking:
>
> x = datetime64('2012-02-02')
>
> x.astype('M8[m]')
> Out[23]: numpy.datetime64('2012-02-01T16:00-0800')
>
>
> The intention is to have functions which handles this casting explicitly,
> called datetime_as_date and date_as_datetime. They would take a timezone
> parameter, so the code explicitly specifies how the conversion takes place.
> A crude replacement for now is:
>
> x = datetime64('2012-02-02 22:00:00', 's')
>
> np.datetime64(np.datetime_as_string(x, timezone='local')[:10])
> Out[21]: numpy.datetime64('2012-02-02')
>
>
> This is hackish, but it should do what you want.
>
> -Mark
>
> On Wed, Feb 8, 2012 at 9:10 AM, John Salvatier
> <jsalv...@u.washington.edu>wrote:
>
>>
>> Hello, is there a good way to get just the date part of a datetime64?
>> Frequently datetime datatypes have month(), date(), hour(), etc functions
>> that pull out part of the datetime, but I didn't see those mentioned in the
>> datetime64 docs. Casting to a 'D' dtype didn't work as I would have hoped:
>>
>> In [30]: x= datetime64('2012-02-02 09:00:00', 's')
>>
>> In [31]: x
>> Out[31]: numpy.datetime64('2012-02-02T09:00:00-0800')
>>
>> In [32]: x.astype('datetime64[D]').astype('datetime64[s]')
>> Out[32]: numpy.datetime64('2012-02-01T16:00:00-0800')
>>
>> What's the simplest way to do this?
>>
>>
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>>
>
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