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| Started by | David Shi <davidgshi@yahoo.co.uk> |
|---|---|
| First post | 2016-04-28 23:38 +0000 |
| Last post | 2016-04-28 18:59 -0700 |
| Articles | 2 — 2 participants |
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Pivot table of Pandas David Shi <davidgshi@yahoo.co.uk> - 2016-04-28 23:38 +0000
Re: Pivot table of Pandas Sayth Renshaw <flebber.crue@gmail.com> - 2016-04-28 18:59 -0700
| From | David Shi <davidgshi@yahoo.co.uk> |
|---|---|
| Date | 2016-04-28 23:38 +0000 |
| Subject | Pivot table of Pandas |
| Message-ID | <mailman.215.1461887070.32212.python-list@python.org> |
Hello, Matt, Please see the web link.Pandas Pivot Table Explained | | | | | | | | | Pandas Pivot Table ExplainedExplanation of pandas pivot_table function. | | | | View on pbpython.com | Preview by Yahoo | | | | | Debra and Fred have their own groups. How to split the pivot table into separate tables? What types of objects are these pivot tables? How to access the "manager" column? the pivot table is interesting to users, but it is very different from databases which we normally know. Looking forward to hearing from you. Regards. David
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| From | Sayth Renshaw <flebber.crue@gmail.com> |
|---|---|
| Date | 2016-04-28 18:59 -0700 |
| Message-ID | <fe866679-52fc-4c5a-a810-b79b43e1ad59@googlegroups.com> |
| In reply to | #107833 |
On Friday, 29 April 2016 09:56:13 UTC+10, David Shi wrote: > Hello, Matt, > Please see the web link.Pandas Pivot Table Explained > > | | > | | | | | | > | Pandas Pivot Table ExplainedExplanation of pandas pivot_table function. | > | | > | View on pbpython.com | Preview by Yahoo | > | | > | | > > > Debra and Fred have their own groups. > How to split the pivot table into separate tables? > What types of objects are these pivot tables? > How to access the "manager" column? > the pivot table is interesting to users, but it is very different from databases which we normally know. > Looking forward to hearing from you. > Regards. > David Unsure of your exact requirements but this doc on reshaping seems to cover the requirements posted. You would not get 2 tables that would be counter-intuitive to a pivottable. You would just define a group in rows and the columns as the data or vice versa. So Debra data of some sort team_member1 44 team_member2 56 Fred team_memeber1 62 team_memeber2 33 http://pandas.pydata.org/pandas-docs/stable/reshaping.html Sayth
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