1.鏈接是“https://www.xyz.{country}/dp/{asin}” 2.我必須從csv檔案中選擇兩個東西，哪個國家和asin。CSV 檔案包含：
Asin Country
0 1011 de
1 1022 fr
2 1033 de
我的問題：如何一一提取asin和國家并制作像
https://www.xyz.{country}/dp/{asin} --> https://www.xyz.de/dp/1011
https://www.xyz.{country}/dp/{asin} --> https://www.xyz.fr/dp/1022
uj5u.com熱心網友回復：
試試這個 ：
lst_url=[]
for index,row in df.iterrows():
country=df.loc[index,'Country']
asin=df.loc[index,'Asin']
url=f"https://www.xyz.{country}/dp/{asin}"
lst_url.append(url)
lst_url將包含您想要的所有網址
uj5u.com熱心網友回復：
按串列過濾列['Country','Asin']，轉換為 numpy 并for獲取傳遞給的標量f-string：
df = pd.read_csv(file)
for country, asin in df[['Country','Asin']].to_numpy():
url=f"https://www.xyz.{country}/dp/{asin}"
print (url)
https://www.xyz.de/dp/1011
https://www.xyz.fr/dp/1022
https://www.xyz.de/dp/1033
對于串列使用：
L = [f"https://www.xyz.{country}/dp/{asin}"
for country, asin in df[['Country','Asin']].to_numpy()]
uj5u.com熱心網友回復：
with open(csv_file, 'r') as f:
datas = f.readlines()
for data in datas[1:]:
asin, country = data.split()
print(f'https://www.xyz.{country}/dp/{asin}')
結果：
https://www.xyz.de/dp/1011
https://www.xyz.fr/dp/1022
https://www.xyz.de/dp/1033
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