【问题标题】:How to query and sort nested mongodb information in python?如何在python中查询和排序嵌套的mongodb信息?
【发布时间】:2021-07-24 05:42:19
【问题描述】:

我有以下代码:

myd = mergedCollection.find(myquery).sort("Price")
print("MY D: "+str(myd))
shoes = myd[0]["theAssociatedShoes"]
print("Shoes: "+ str(shoes))

输出:

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'},...]
     ...

这里的鞋子怎么没有按价格排序?我也尝试过使用此代码:

myd = mergedCollection.find(myquery)[0]["theAssociatedShoes"].sort("Price")

但这会引发语法错误。我也尝试过这种解决方案,但无济于事。

myd = mergedCollection.find(myquery).sort("theAssociatedShoes.Price", -1)

【问题讨论】:

标签: python python-3.x mongodb sorting pymongo


【解决方案1】:

查看您的代码,您感兴趣的数据都在一条记录中。 MongoDB 的排序仅适用于多条记录。要按价格顺序获取结果,请使用 python 的 sorted 内置函数和 lambda 表达式。

myd = collection.find()
for record in sorted(myd[0]["theAssociatedShoes"], key=lambda price: price['Price']):
    print(record)

【讨论】:

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