读取CSV文件时如何将字符串值转换为整数值？

Question

打开CSV文件时，整数列将转换为字符串值（“ 1”，“ 23”等）。遍历将这些值转换回整数的最佳方法是什么？

import csv

with open('C:/Python27/testweight.csv', 'rb') as f:
    reader = csv.reader(f)
    rows = [row for row in reader if row[1] > 's']

for row in rows:
    print row

CSV文件如下：

import csv

with open('C:/Python27/testweight.csv', 'rb') as f:
    reader = csv.reader(f)
    rows = [row for row in reader if row[1] > 's']

for row in rows:
    print row

Answer 1

我认为这可以满足您的需求：

import csv

with open('C:/Python27/testweight.csv', 'rb') as f:
    reader = csv.reader(f, delimiter='\t')
    header = next(reader)
    rows = [header] + [[row[0], int(row[1])] for row in reader]

for row in rows:
    print row

输出：

import csv

with open('C:/Python27/testweight.csv', 'rb') as f:
    reader = csv.reader(f, delimiter='\t')
    header = next(reader)
    rows = [header] + [[row[0], int(row[1])] for row in reader]

for row in rows:
    print row

Answer 2

如果 CSV 有标题，我建议使用csv.DictReader. 有了这个，你可以：

 with open('C:/Python27/testweight.csv', 'rb') as f:
    reader = csv.DictReader(f)
    for row in reader:
        integer = int(row['Name of Column'])