[Pandas-dev] Remaining API changes / deprecations to do before 1.0 (wishlist)

[Matthew Roeschke]

As reference, this is the main issue where we discussed deprecations during
last year's sprint: https://github.com/pandas-dev/pandas/issues/18262

Just wanted to highlight that we proposed deprecating read_table, but we've
gotten responses against it
https://github.com/pandas-dev/pandas/issues/18262#issuecomment-457688859

On Tue, Mar 5, 2019 at 3:17 PM Joris Van den Bossche <
jorisvandenbossche at gmail.com> wrote:

> A quick reminder for this thread. I think it is important to think about
> to determine potential blockers / priorities for 0.25 (which we might want
> to discuss on Thursday).
>
> Op za 9 feb. 2019 om 10:32 schreef Joris Van den Bossche <
> jorisvandenbossche at gmail.com>:
>
>> Op do 17 jan. 2019 om 16:20 schreef Tom Augspurger <
>> tom.augspurger88 at gmail.com>:
>>
>>>
>>> My main one is deprecation of SparseSeries and SparseDataFrame, since I
>>> don't want to carry that around for all of 1.x.
>>> I didn't quite get there for 0.24, but all the really disruptive changes
>>> are done now (no method in pandas should return a SparseDataFrame anymore,
>>> aside from DataFrame.to_sparse()).
>>>
>>
>> Yes, the SparseSeries / SparseDataFrame is also on my list.
>> Some others:
>>
>> - I think it would be good to do the planned breaking changes to
>> IntervalIndex indexing before 1.0.
>> - The `inplace` deprecation (GH16529
>> <https://github.com/pandas-dev/pandas/issues/16529>) (or at least decide
>> on it). Although a possible deprecation + removal will have a huge impact
>> and need some time, so this might rather be something for after 1.0.
>>
>> Other people's thoughts on the original question?
>>
>> Joris
>>
>>
>>
>>
>>
>>
>> _______________________________________________
> Pandas-dev mailing list
> Pandas-dev at python.org
> https://mail.python.org/mailman/listinfo/pandas-dev
>


-- 
Matthew Roeschke <http://mroeschke.github.io>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/pandas-dev/attachments/20190305/85d6ce84/attachment.html>