[Pandas-dev] Why is it not possible to access index entries like columns?

[Tom Augspurger]

https://github.com/pandas-dev/pandas/pull/12404 started to implement it,
but stalled.

On Thu, Jun 15, 2017 at 9:15 AM, Joris Van den Bossche <
jorisvandenbossche at gmail.com> wrote:

> Hi Tyler,
>
> I think there is agreement on that it is something we would like to change
> in pandas. Related github issue is here: https://github.com/pandas-dev/
> pandas/issues/8162
>
> So as far as I can see, it is mainly someone taking up the implementation
> work. There are a few API questions to be answered as well (see the
> discussion in the issue).
> For example, it would probably *not* be just returning
> df.index.get_level_values(), but rather wrapped that in a Series (and
> keeping the original index as well).
> What to do when a name appears both as column name and index level name,
> is another question (both on short and long term).
>
> Very welcome to work on this if you would be interested!
>
> Regards,
> Joris
>
> 2017-06-11 22:11 GMT+02:00 Tyler Hardin <th020394 at gmail.com>:
>
>> Hi,
>>
>> Is it just a matter of implementing the lookup in the . and [] operator
>> methods to return df.index.get_level_values() with the argument, or is
>> there some deeper reason this can't work that I'm not seeing?
>>
>> E.g. I want df['date'] to do df.get_level_values('date') when there is no
>> date column and there is a level in the index named 'date'. Presumably,
>> this would be a secondary lookup w/ columns taking precedence -- i.e. a
>> 'date' column would mask a 'date' index.
>>
>> Thanks,
>> Tyler
>>
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>>
>
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