[英]How to query and sort nested mongodb information in python?
我有以下代碼:
myd = mergedCollection.find(myquery).sort("Price")
print("MY D: "+str(myd))
shoes = myd[0]["theAssociatedShoes"]
print("Shoes: "+ str(shoes))
使用 output:
MY D: <pymongo.cursor.Cursor object at 0x05859538>
Shoes: [{'Title': 'Nike Cosmic Unity "Amalgam"', 'Price': 160, 'Currency': 'USD', 'Picture': 'https://static.nike.com/a/images/t_default/3bca4f51-f2e4-4948-a665-27e03eea4ddd/cosmic-unity-amalgam-basketball-shoe-nDHKr4.png', 'Link': 'nike.com/t/cosmic-unity-amalgam-basketball-shoe-nDHKr4/DA6725-500', 'Brand': 'nike'}, {'Title': 'Ultraboost 21 Shoes', 'Price': 180, 'Currency': ' USD', 'Picture': 'https://assets.adidas.com/images/w_280,h_280,f_auto,q_auto:sensitive/3728ddf5b7dc4a2ca3e3ac7d0106c5a1_9366/ultraboost-21-shoes.jpg', 'Link': 'adidas.com/us/ultraboost-21-shoes/FY0350.html', 'Brand': 'adidas'}, {'Title': 'Fresh', 'Price': 129, 'Currency': ' USD', 'Picture': 'https://nb.scene7.com/is/image/NB/m880f11_nb_02_i?$pdpflexf2$&wid=440&hei=440', 'Link': 'newbalance.com/pd/fresh-foam-880v11/M880V11-33418.html', 'Brand': 'newbalance'}, {'Title': 'Jordan Delta Breathe', 'Price': 130, 'Currency': 'USD', 'Picture': 'https://static.nike.com/a/images/t_default/b54eef6b-6dd5-4c07-9b09-901ab9d7b01a/jordan-delta-breathe-mens-shoe-2ggX3h.png', 'Link': 'nike.com/t/jordan-delta-breathe-mens-shoe-2ggX3h/CW0783-901', 'Brand': 'jordan'},...]
...
鞋子怎么不是按價格排序的? 我也嘗試過使用這段代碼:
myd = mergedCollection.find(myquery)[0]["theAssociatedShoes"].sort("Price")
但這會引發語法錯誤。 我也試過這個解決方案無濟於事。
myd = mergedCollection.find(myquery).sort("theAssociatedShoes.Price", -1)
查看您的代碼,您感興趣的數據都在一條記錄中。 MongoDB 的排序僅適用於多條記錄。 要按價格順序獲取結果,請使用 python 的sorted
內置 function 和lambda
表達式。
myd = collection.find()
for record in sorted(myd[0]["theAssociatedShoes"], key=lambda price: price['Price']):
print(record)
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