summaryrefslogtreecommitdiff
path: root/docs
diff options
context:
space:
mode:
Diffstat (limited to 'docs')
-rw-r--r--docs/topics/db/aggregation.txt2
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