Python 如何在我搜索的关键字的数据框中显示/打印或排序元素？

我想跟踪体育器材库存，它由3个品牌、产品及其价格数组组成，我将其存储在一个数据框中，并使用FuzzyWuzzy搜索特定关键字（例如“Football”），在我的pandas数据框中，它应仅显示我的数据框中的这些元素

所以有一个结果数组，它由我搜索过的关键字的元组和关键字出现在列表中的概率组成，所以我只想在结果数据框中显示这些元素

from fuzzywuzzy import process
from pandas import DataFrame

Brands=['Nike', 'Adidas', 'Nike', 'Puma', 'UnderArmour', 'Adidas', 'Puma', 'New Balance', 'Puma']
Product=['Phantom Football Boots',
        'Football Shorts',
        'Running Shoes',
        'Evospeed Football shoes',
        'Gym Gloves',
        'Running Shoes',
        'Cap',
        'Furon Football Boots',
        'Football Size 1']
Price_USD=[200, 45, 100, 90, 30, 120,12,35,20]

stocks_df={'Brands':Brands,
           'Product':Product,
           'Price':Price_USD
            }

searchproduct=input("Enter Product Name: ")

def getSearchedProducts(searchproduct, choices, limit=5):
    res=process.extract(searchproduct, choices, limit=limit)
    return res

result=getSearchedProducts(searchproduct, Product)
df=DataFrame(stocks_df, columns=['Brands', 'Product', 'Price'])

因此，我的数据帧应该如下所示：

        Brands                  Product  Price
0         Nike   Phantom Football Boots    200
1       Adidas          Football Shorts     45
2         Nike            Running Shoes    100
3         Puma  Evospeed Football shoes     90
4  UnderArmour               Gym Gloves     30
5       Adidas            Running Shoes    120
6         Puma                      Cap     12
7  New Balance     Furon Football Boots     35
8         Puma          Football Size 1     20

---

您可以筛选结果以生成得分为X%或更高（取决于您希望的准确程度）的产品列表，然后仅从数据框中选择具有此产品的行

from fuzzywuzzy import process
from pandas import DataFrame

Brands=['Nike', 'Adidas', 'Nike', 'Puma', 'UnderArmour', 'Adidas', 'Puma', 'New Balance', 'Puma']
Product=['Phantom Football Boots',
        'Football Shorts',
        'Running Shoes',
        'Evospeed Football shoes',
        'Gym Gloves',
        'Running Shoes',
        'Cap',
        'Furon Football Boots',
        'Football Size 1']
Price_USD=[200, 45, 100, 90, 30, 120,12,35,20]

stocks_df={'Brands':Brands,
           'Product':Product,
           'Price':Price_USD
            }

searchproduct=input("Enter Product Name: ")

def getSearchedProducts(searchproduct, choices, limit=5):
    res=process.extract(searchproduct, choices, limit=limit)
    return res

result=getSearchedProducts(searchproduct, Product)
df=DataFrame(stocks_df, columns=['Brands', 'Product', 'Price'])

#form a list of products which has a score of 80% or more
product_result_list = [res[0] for res in result if res[1]>=80]

#create a new df of only those products from our list.
product_result_df = df[df['Product'].isin(product_result_list)]

print(product_result_df)

输出：当输入以80分或以上的分数给出时

Enter Product Name: boots
        Brands                 Product  Price
0         Nike  Phantom Football Boots    200
7  New Balance    Furon Football Boots     35