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| author | Russell Keith-Magee <russell@keith-magee.com> | 2009-01-16 00:02:35 +0000 |
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| committer | Russell Keith-Magee <russell@keith-magee.com> | 2009-01-16 00:02:35 +0000 |
| commit | f9f9d703cfef64766ab5a3d7cb5d79298367f621 (patch) | |
| tree | 79c3f04fe58d9e97e4ed5502d7aab117aadf27bf /docs/topics/db/aggregation.txt | |
| parent | b3dd0b5dccc7f9c230fd0b78cbf60483b010bc3e (diff) | |
Fixed #10042 -- YAADT (Aggregation Docs Typo).
git-svn-id: http://code.djangoproject.com/svn/django/trunk@9755 bcc190cf-cafb-0310-a4f2-bffc1f526a37
Diffstat (limited to 'docs/topics/db/aggregation.txt')
| -rw-r--r-- | docs/topics/db/aggregation.txt | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/docs/topics/db/aggregation.txt b/docs/topics/db/aggregation.txt index 41832743bc..9ee39fc081 100644 --- a/docs/topics/db/aggregation.txt +++ b/docs/topics/db/aggregation.txt @@ -165,7 +165,7 @@ The same rules apply to the ``aggregate()`` clause. If you wanted to know the lowest and highest price of any book that is available for sale in a store, you could use the aggregate:: - >>> Store.objects.aggregate(min_price=Min('books__price'), max_price=Min('books__price')) + >>> Store.objects.aggregate(min_price=Min('books__price'), max_price=Max('books__price')) Join chains can be as deep as you require. For example, to extract the age of the youngest author of any book available for sale, you could |