i want to make urls-CodePudding

1.Link is "https://www.xyz.{country}/dp/{asin}" 2.I have to pick two things from csv file which country and asin. CSV file contains :

      Asin     Country
0      1011         de
1      1022         fr
2      1033         de

My question : How can I extract asin and country one by one and make urls like

https://www.xyz.{country}/dp/{asin}  -->  https://www.xyz.de/dp/1011
https://www.xyz.{country}/dp/{asin}  -->  https://www.xyz.fr/dp/1022

CodePudding user response：

try this :

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 will contain all the url you want

CodePudding user response：

Filter columns by list ['Country','Asin'], convert to numpy and in for get scalars passed to 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

For list use:

L = [f"https://www.xyz.{country}/dp/{asin}" 
        for country, asin in df[['Country','Asin']].to_numpy()]

CodePudding user response：

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}')

result:

https://www.xyz.de/dp/1011
https://www.xyz.fr/dp/1022
https://www.xyz.de/dp/1033