Dear Michael,
I have done a number of operation in between.
Providing that information does not help you
How to reset index after grouping and various operations is of interest.
How to type in a command to find out its current dataframe?
Regards.
David
On Friday, 13 May 2016, 20:58, Michael Selik <michael.se...@gmail.com>
wrote:
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.se...@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 <davidg...@yahoo.co.uk> wrote:
Hello, Michael,
Why reset_index before grouping?
Regards.
David
On Friday, 13 May 2016, 17:57, Michael Selik <michael.se...@gmail.com> wrote:
On Fri, May 13, 2016 at 12:27 PM David Shi via Python-list
<python-list@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, ?).
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