[SciPy-Dev] Baffled by type_check.datetime_data
Wed Apr 28 11:41:40 CDT 2010
On Wed, Apr 28, 2010 at 8:57 AM, Robert Kern <firstname.lastname@example.org> wrote:
> On Tue, Apr 27, 2010 at 20:57, David Goldsmith <email@example.com>
> >>>> np.version.version
> > '1.4.0'
> >>>> from numpy.lib.type_check import datetime_data as dtd
> >>>> help(dtd)
> > Help on function datetime_data in module numpy.lib.type_check:
> > datetime_data(dtype)
> > Return (unit, numerator, denominator, events) from a datetime dtype
> >>>> np.dtype(np.datetime_)
> > dtype('datetime64[us]')
> >>>> dtd(np.datetime_)
> datatime_data() takes a dtype, not a scalar type.
> Robert Kern
How is np.datetime_ not a dtype, and how is
_not_ an indication that it isn't a dtype? How do I create a dtype object
that datetime_data will recognize?
> "I have come to believe that the whole world is an enigma, a harmless
> enigma that is made terrible by our own mad attempt to interpret it as
> though it had an underlying truth."
> -- Umberto Eco
> SciPy-Dev mailing list
Mathematician: noun, someone who disavows certainty when their uncertainty
set is non-empty, even if that set has measure zero.
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