您可以使用 Python DictReader 将 CSV 文件的每一行作为字典读取。然后可以将其传递给urlencode,它会返回正确编码的 URL 以供使用。例如:
from urllib.parse import urlencode
import csv
with open('parameters.csv', newline='') as f_input:
csv_input = csv.DictReader(f_input)
for row in csv_input:
url = f"https://www.example.com/ImagingService/imagingService?{urlencode(row)}"
print(url)
因此,如果您有一个 parameters.csv 文件,其中包含以下内容:
id,h,w,x,y
ddd:1234,52,11,22,33
aaa:5678,62,44,55,66
你会得到以下输出:
https://www.example.com/ImagingService/imagingService?id=ddd%3A1234&h=52&w=11&x=22&y=33
https://www.example.com/ImagingService/imagingService?id=aaa%3A5678&h=62&w=44&x=55&y=66
在您的示例中,有一个coords 参数,尚不清楚它是如何创建的。它可以作为 CSV 文件中的另一列添加,也可以在 url 行之前添加一行,如下所示:
row['coords'] = row['id'] # or whatever format is needed
注意:如果您打算使用 requests 库,则不需要 urlencode()。例如:
r = requests.get("https://www.example.com/ImagingService/imagingService", params=row)
您可以将每个 URL 写入输出 CSV 文件,如下所示(目前只有一列)
from urllib.parse import urlencode
import csv
with open('parameters.csv', newline='') as f_input, open('output.csv', 'w', newline='') as f_output:
csv_input = csv.DictReader(f_input)
csv_output = csv.writer(f_output)
csv_output.writerow(['url']) # write the header
for row in csv_input:
url = f"https://www.example.com/ImagingService/imagingService?{urlencode(row)}"
print(url)
csv_output.writerow([url])