将函数应用于 csv 文件中的每一行

Question

I have a function from Vasilis G.'s answer here :

 from datetime import datetime def getTotal(line): dates = list(datetime.strptime(elem, '%Y-%m-%d') for elem in line.split(', ')) total = 0 for i in range(0, len(dates), 2): delta = dates[i+1] - dates[i] if delta.days > 90: total += 2 else: total += 1 return total

I then used:

with open('dataset.csv','r') as csvfile:  # use with to auto-close file
   for row in csvfile.readlines():  # pin_id
       getTotal(row)  # board_id and section can use defaults
       time.sleep(random.randint(1,3)) # wait 1-3 seconds

And I would like to apply it on every line in my csv file but it's giving me "ValueError : unconverted data remains : 2022-06-03,2021-05-29,2024-06-03,2022-05-29,2026-06-03,2023-05-29,2028-06-03,2024-05-29,2030-06-03,2025-05-29,2032-06-03 which coincide with the first line of my .csv file.

FINAL :

from datetime import datetime


def getTotal(line):
    dates = [datetime.strptime(elem.strip(), '%Y-%m-%d') for elem in line.split(',')]
    total = 0
    for i in range(0, len(dates), 2):
        delta = dates[i+1] - dates[i]
        if delta.days > 90:
            total += 2
        else:
            total += 1
    return total

print(getTotal(dates))
with open('dataset.csv','r') as csvfile:  
   for row in csvfile.readlines():  
       getTotal(row)

Answer 1

Try this:

def getTotal(line):
    dates = [datetime.strptime(elem.strip(), '%Y-%m-%d') for elem in line.split(',')]
    ...