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Groups > comp.lang.python > #108605
| From | Michael Selik <michael.selik@gmail.com> |
|---|---|
| Newsgroups | comp.lang.python |
| Subject | Re: How to put back a number-based index |
| Date | 2016-05-13 16:56 +0000 |
| Message-ID | <mailman.635.1463158627.32212.python-list@python.org> (permalink) |
| References | <1878444350.3064027.1463156091513.JavaMail.yahoo.ref@mail.yahoo.com> <1878444350.3064027.1463156091513.JavaMail.yahoo@mail.yahoo.com> <1974768074.3081564.1463156374539.JavaMail.yahoo@mail.yahoo.com> <CAGgTfkNC=aCkp+6TY3LxYe-EK5Ug64L-Qua_qVS70qPpfbbtvA@mail.gmail.com> |
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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Re: How to put back a number-based index Michael Selik <michael.selik@gmail.com> - 2016-05-13 16:56 +0000
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