python - Pandas DataFrame 到列表列表的字典

Question

我有一个包含四列的 CSV 文件:product_price、country_of_origin、product_quantity 和brand_id。 This is what csv looks like我想创建一个字典，其中键是brand_id，值是包含其他列的元组/列表的列表。类似这样的事情:

some_dict = {
    1: 
    [(country_of_origin, product_quantity, product_price), 
     (country_of_origin, product_quantity, product_price),
     (country_of_origin, product_quantity, product_price)], 
    2: 
    [(country_of_origin, product_quantity, product_price), 
     (country_of_origin, product_quantity, product_price)],
    3:
    [(country_of_origin, product_quantity, product_price), 
     (country_of_origin, product_quantity, product_price)]
}

是否可以用 pandas 创建这样的结构？我尝试过在 df.itertuples(index=False)} 中使用 {x[3]: x[0:] for x in df.itertuples(index=False)} 但它只返回每个 Brand_id 一个值:

{1: (200, 'Kenya', 19), 3: (40, 'South Africa', 40), 2: (350, 'Turkey', 64)}

Answer 1

您可以将字典理解与groupby结合使用brand_id 和 DataFrame.iterrows :

some_dict = {k: [(co, pq, pp) for _, (pp, co, pq, _) in x.iterrows()]
             for k, x in df.groupby('brand_id')}

[输出]

{1: [('Kenya', 19, 200), ('Turkey', 25, 35), ('Jordan', 53, 16)],
 2: [('Turkey', 64, 350), ('Jordan', 24, 80)],
 3: [('South Africa', 5, 40), ('Oman', 8, 63)]}