Loading docs/topics/db/aggregation.txt +2 −2 Original line number Diff line number Diff line Loading @@ -73,7 +73,7 @@ In a hurry? Here's how to do common aggregate queries, assuming the models above {'price_per_page': 0.4470664529184653} # All the following queries involve traversing the Book<->Publisher # many-to-many relationship backward # foreign key relationship backwards. # Each publisher, each with a count of books as a "num_books" attribute. >>> from django.db.models import Count Loading Loading @@ -242,7 +242,7 @@ price field of the book model to produce a minimum and maximum value. 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:: in any of the stores, you could use the aggregate:: >>> Store.objects.aggregate(min_price=Min('books__price'), max_price=Max('books__price')) Loading Loading
docs/topics/db/aggregation.txt +2 −2 Original line number Diff line number Diff line Loading @@ -73,7 +73,7 @@ In a hurry? Here's how to do common aggregate queries, assuming the models above {'price_per_page': 0.4470664529184653} # All the following queries involve traversing the Book<->Publisher # many-to-many relationship backward # foreign key relationship backwards. # Each publisher, each with a count of books as a "num_books" attribute. >>> from django.db.models import Count Loading Loading @@ -242,7 +242,7 @@ price field of the book model to produce a minimum and maximum value. 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:: in any of the stores, you could use the aggregate:: >>> Store.objects.aggregate(min_price=Min('books__price'), max_price=Max('books__price')) Loading