numpy.core has many ways to catalogue dtype names: sctypeDict, typeDict
(which is precisely sctypeDict), typecodes, and typename. We also
generate sctypeNA and typeNA but, as issue 11241 shows, it is sometimes
wrong. They are also not documented and never used inside numpy. Instead
of fixing it
On 21/06/18 09:25, Matti Picus wrote:
numpy.core has many ways to catalogue dtype names: sctypeDict,
typeDict (which is precisely sctypeDict), typecodes, and typename. We
also generate sctypeNA and typeNA but, as issue 11241 shows, it is
sometimes wrong. They are also not documented and never u
Hi All,
On behalf of the NumPy team I'm pleased to announce the release of NumPy
1.15.0rc1.
This release has an unusual number of cleanups, many deprecations of old
functions,
and improvements to many existing functions. A total of 423 pull reguests
were merged
for this release, please look at the
On Thu, 2018-06-21 at 09:25 -0700, Matti Picus wrote:
> numpy.core has many ways to catalogue dtype names: sctypeDict,
> typeDict
> (which is precisely sctypeDict), typecodes, and typename. We also
> generate sctypeNA and typeNA but, as issue 11241 shows, it is
> sometimes
> wrong. They are also
> I bet the NA is for the missing value support thatnever happened
Nope - NA stands for NumArray
Eric
On Thu, 21 Jun 2018 at 11:07 Sebastian Berg
wrote:
> On Thu, 2018-06-21 at 09:25 -0700, Matti Picus wrote:
> > numpy.core has many ways to catalogue dtype names: sctypeDict,
> > typeDict
> > (
