Hi All, astropy `Time` indeed using two doubles internally, but is very limited in the operations it allows: essentially only addition/subtraction, and multiplication with/division by a normal double.
It would be great to have better support within numpy; it is a pity to have a float128 type that does not provide the full associated precision. All the best, Marten On Sat, Dec 12, 2015 at 1:02 PM, Sturla Molden <sturla.mol...@gmail.com> wrote: > "Thomas Baruchel" <baruc...@gmx.com> wrote: > > > While this is obviously the most relevant answer for many users because > > it will allow them to use Numpy arrays exactly > > as they would have used them with native types, the wrong thing is that > > from some point of view "true" vectorization > > will be lost. > > What does "true vectorization" mean anyway? > > > Sturla > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > https://mail.scipy.org/mailman/listinfo/numpy-discussion >
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