读取具有列名称的CSV项目 [英] Read CSV items with column name

问题描述

读取CSV时，不要跳过第一行（标题），而是按数字读取行项目：

When reading a CSV, instead of skipping first line (header), and reading row items by number:

with open('info.csv') as f:
    reader = csv.reader(f, delimiter=';')
    next(reader, None)
    for row in reader:
        name = row[0]
        blah = row[1]

是否有内置-通过使用标题名称来访问行项目的方法？像这样的东西：

is there a built-in way to access row items by making use of header name? Something like:

with open('info.csv') as f:
    reader = csv.reader(f, delimiter=';', useheader=True)
    for row in reader:
        name = row['name']
        blah = row['blah']

其中 info.csv 有标题行：

name; blah

John; Hello2

Mike; Hello2

name;blah
John;Hello2
Mike;Hello2

推荐答案

您正在寻找 DictReader

with open('info.csv') as f:
    reader = csv.DictReader(f, delimiter=';')
    for row in reader:
        name = row['name']
        blah = row['blah']

引用链接：

创建一个对象，其功能类似于常规读取器，但将读取的
信息映射到键为gi的dict中取决于可选的
fieldnames参数。
...
如果省略fieldnames参数，则csvfile的
第一行中的值将用作字段名。

Create an object which operates like a regular reader but maps the information read into a dict whose keys are given by the optional fieldnames parameter. ... If the fieldnames parameter is omitted, the values in the first row of the csvfile will be used as the fieldnames.

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