I concur with the consensus.
On 10 Aug 2017, 11:10 PM +0200, Eric Wieser ,
wrote:
> Let’s try and keep this on topic - most replies to this message has been
> about #9211, which is an orthogonal issue.
> There are two main questions here:
>
> 1. Would the community prefer to use np.quantile(x, 0
Let’s try and keep this on topic - most replies to this message has been
about #9211, which is an orthogonal issue.
There are two main questions here:
1. Would the community prefer to use np.quantile(x, 0.25) instead
of np.percentile(x,
25), if they had the choice
2. Is this desirable en
On 08/07/2017 05:01 PM, Nisoli Isaia wrote:
> Dear all,
> I have a question about the behaviour of
>
> y = np.array(x, copy=False, dtype='float32')
>
> when x is a memmap. If we check the memmap attribute of mmap
>
> print "mmap attribute", y._mmap
>
> numpy tells us that y is not a memmap.
> B
On 08/10/2017 02:24 PM, Sebastian Berg wrote:
> On Thu, 2017-08-10 at 12:27 -0400, Allan Haldane wrote:
>> On 08/07/2017 05:01 PM, Nisoli Isaia wrote:
>>> Dear all,
>>> I have a question about the behaviour of
>>>
>>> y = np.array(x, copy=False, dtype='float32')
>>>
>>> when x is a memmap. If we ch
On Thu, 2017-08-10 at 12:27 -0400, Allan Haldane wrote:
> On 08/07/2017 05:01 PM, Nisoli Isaia wrote:
> > Dear all,
> > I have a question about the behaviour of
> >
> > y = np.array(x, copy=False, dtype='float32')
> >
> > when x is a memmap. If we check the memmap attribute of mmap
> >
> > print
Yes, that is the change I am thinking of. And yes, it hasn't happened yet.
But, it has been set to warn for a few years now, and there was a lot of
controversy over it when it was first proposed. That said, I do think the
way it was handled made sense, and it is a good model to follow for these
typ
On 07/18/2017 09:52 AM, Benjamin Root wrote:
> This sort of change seems very similar to the np.diag() change a few years
> ago. Are there lessons we could learn from then that we could apply to here?
>
> Why would the returned view not be a masked array?
>
> Ben Root
I am in favor of the propos
On 08/07/2017 05:01 PM, Nisoli Isaia wrote:
> Dear all,
> I have a question about the behaviour of
>
> y = np.array(x, copy=False, dtype='float32')
>
> when x is a memmap. If we check the memmap attribute of mmap
>
> print "mmap attribute", y._mmap
>
> numpy tells us that y is not a memmap.
> B
