Hi Alex,
On Mon, 2019-05-13 at 00:35 -0400, Alex Samuel wrote:
> Hi,
>
> When registering a custom cast function from datetime64 to another
> dtype, how can I get the units?
>
> I am calling PyArray_RegisterCastFunc from NPY_DATETIME. Ideally,
> I'd like to register a separate cast function for
Hi,
When registering a custom cast function from datetime64 to another dtype, how
can I get the units?
I am calling PyArray_RegisterCastFunc from NPY_DATETIME. Ideally, I'd like to
register a separate cast function for each datetime64 units (or none at all...
I don't want all units to be casta
What is the recommended (i.e., fast) way to do
folds and scans across one axis of a NumPy array?
(The equivalent of Mma's Fold and FoldList.)
Assume an arbitrary Python function that
produces one array from two arrays, where these
three arrays share the same dimensions.
(So the use of Python's `r
On Sun, May 12, 2019 at 7:27 AM Ralf Gommers wrote:
>
>
> On Sun, May 12, 2019 at 3:56 PM Charles R Harris <
> charlesr.har...@gmail.com> wrote:
>
>>
>>
>> On Sun, May 12, 2019 at 6:33 AM Julian Taylor <
>> jtaylor.deb...@googlemail.com> wrote:
>>
>>> On 12.05.19 14:58, Charles R Harris wrote:
>>
On Sun, May 12, 2019 at 3:56 PM Charles R Harris
wrote:
>
>
> On Sun, May 12, 2019 at 6:33 AM Julian Taylor <
> jtaylor.deb...@googlemail.com> wrote:
>
>> On 12.05.19 14:58, Charles R Harris wrote:
>> > Hi All,
>> >
>> > NumPy currently distinguishes between release and development versions
>> >
On Sun, May 12, 2019 at 6:33 AM Julian Taylor
wrote:
> On 12.05.19 14:58, Charles R Harris wrote:
> > Hi All,
> >
> > NumPy currently distinguishes between release and development versions
> > when running tests. Is there a good reason to continue this practice? I
> > ask, because with the last p
On 12.05.19 14:58, Charles R Harris wrote:
> Hi All,
>
> NumPy currently distinguishes between release and development versions
> when running tests. Is there a good reason to continue this practice? I
> ask, because with the last pytest release it would be convenient to
> always include `pytest.i
Hi All,
NumPy currently distinguishes between release and development versions when
running tests. Is there a good reason to continue this practice? I ask,
because with the last pytest release it would be convenient to always
include `pytest.ini ` so that we can register markers. The presence of
`
