How to put back a number-based index

[Michael Selik]

Just in case I misunderstood, why don't you make a little example of before
and after the grouping? This mailing list does not accept attachments, so
you'll have to make do with pasting a few rows of comma-separated or
tab-separated values.

On Fri, May 13, 2016 at 3:56 PM Michael Selik <michael.selik at gmail.com>
wrote:

> In order to preserve your index after the aggregation, you need to make
> sure it is considered a data column (via reset_index) and then choose how
> your aggregation will operate on that column.
>
> On Fri, May 13, 2016 at 3:29 PM David Shi <davidgshi at yahoo.co.uk> wrote:
>
>> Hello, Michael,
>>
>> Why reset_index before grouping?
>>
>> Regards.
>>
>> David
>>
>>
>> On Friday, 13 May 2016, 17:57, Michael Selik <michael.selik at gmail.com>
>> wrote:
>>
>>
>>
>>
>> On Fri, May 13, 2016 at 12:27 PM David Shi via Python-list <
>> python-list at python.org> wrote:
>>
>> I lost my indexes after grouping in Pandas.
>> I managed to rest_index and got back the index column.
>> But How can I get back a index row?
>>
>>
>> Was the grouping an aggregation? If so, the original indexes are
>> meaningless. What you could do is reset_index before the grouping and when
>> you aggregate decide how to handle the formerly-known-as-index column (min,
>> max, mean, ?).
>>
>>
>>