在Python中解析以制表符分隔的文件 [英] parsing a tab-separated file in Python

问题描述

我正在尝试在Python中解析一个以制表符分隔的文件，其中一个数字与行的开头相距k个标签，应放在第k个数组中。

I'm trying to parse a tab-separated file in Python where a number placed k tabs apart from the beginning of a row, should be placed into the k-th array.

是否有内置函数来执行此操作，或者更好的方法，除了逐行读取并执行一个天真的解决方案将执行的所有明显处理？

Is there a built-in function to do this, or a better way, other than reading line by line and do all the obvious processing a naive solution would perform?

推荐答案

您可以使用 csv 模块可轻松解析标签分隔值文件。

You can use the csv module to parse tab seperated value files easily.

import csv

with open("tab-separated-values") as tsv:
    for line in csv.reader(tsv, dialect="excel-tab"): #You can also use delimiter="\t" rather than giving a dialect.
        ... 

其中行是每次迭代的当前行的值列表。

Where line is a list of the values on the current row for each iteration.

编辑：如下所示，如果要按列读取，而不是按行读取，则最好的办法是使用 zip（）内置：

As suggested below, if you want to read by column, and not by row, then the best thing to do is use the zip() builtin:

with open("tab-separated-values") as tsv:
    for column in zip(*[line for line in csv.reader(tsv, dialect="excel-tab")]):
        ...

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