[Numpy-discussion] Deprecating matrices.

josef.pktd at gmail.com josef.pktd at gmail.com
Fri Jan 6 20:37:13 EST 2017


On Fri, Jan 6, 2017 at 8:28 PM, Ralf Gommers <ralf.gommers at gmail.com> wrote:

>
>
> On Sat, Jan 7, 2017 at 2:21 PM, CJ Carey <perimosocordiae at gmail.com>
> wrote:
>
>>
>> On Fri, Jan 6, 2017 at 6:19 PM, Ralf Gommers <ralf.gommers at gmail.com>
>> wrote:
>>
>>> This sounds like a reasonable idea. Timeline could be something like:
>>>
>>> 1. Now: create new package, deprecate np.matrix in docs.
>>> 2. In say 1.5 years: start issuing visible deprecation warnings in numpy
>>> 3. After 2020: remove matrix from numpy.
>>>
>>> Ralf
>>>
>>
>> I think this sounds reasonable, and reminds me of the deliberate
>> deprecation process taken for scipy.weave. I guess we'll see how successful
>> it was when 0.19 is released.
>>
>> The major problem I have with removing numpy matrices is the effect on
>> scipy.sparse, which mostly-consistently mimics numpy.matrix semantics and
>> often produces numpy.matrix results when densifying. The two are coupled
>> tightly enough that if numpy matrices go away, all of the existing sparse
>> matrix classes will have to go at the same time.
>>
>> I don't think that would be the end of the world,
>>
>
> Not the end of the world literally, but the impact would be pretty major.
> I think we're stuck with scipy.sparse, and may at some point will add a new
> sparse *array* implementation next to it. For scipy we will have to add a
> dependency on the new npmatrix package or vendor it.
>

That sounds to me like moving maintenance of numpy.matrix from numpy to
scipy, if scipy.sparse is one of the main users and still depends on it.

Josef



>
> Ralf
>
>
>
>> but it's definitely something that should happen while scipy is still
>> pre-1.0, if it's ever going to happen.
>>
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>>
>
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