[SciPy-Dev] Baffled by type_check.datetime_data

[David Goldsmith]

On Wed, Apr 28, 2010 at 8:57 AM, Robert Kern <robert.kern at gmail.com> wrote:

> On Tue, Apr 27, 2010 at 20:57, David Goldsmith <d.l.goldsmith at gmail.com>
> wrote:
> >>>> 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

>>> np.dtype(np.datetime_)
dtype('datetime64[us]')

_not_ an indication that it isn't a dtype?  How do I create a dtype object
that datetime_data will recognize?

DG



>
> "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
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-- 
Mathematician: noun, someone who disavows certainty when their uncertainty
set is non-empty, even if that set has measure zero.
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