删除CSV文件Python中的空白条目

问题描述

我需要从Excel读取CSV文件，该文件的行可以是任意长度.

I need to read in a CSV file, from Excel, whose rows may be an arbitrary length.

问题是python保留了这些空白条目，但是需要删除它们以用于将来的算法.下面是输出，我不要空白条目.

The problem is the python retains these blank entries, but need to delete them for a future algorithm. Below is the output, I don't want the blank entries.

     ['5', '1', '5', '10', '4', '']
     ['3', '1', '5', '10', '2', '']
     ['6', '1', '5', '10', '5', '2']
     ['9', '10', '5', '10', '7', '']
     ['8', '5', '5', '10', '7', '']
     ['1', '1', '5', '10', '', '']
     ['2', '1', '5', '10', '1', '']
     ['7', '1', '5', '10', '6', '4']
     ['4', '1', '5', '10', '3', '1']

推荐答案

以下是与 csv 库集成的列表理解:

Here's a list comprehension integrated with the csv library:

import csv

with open('input.csv') as in_file:
    reader = csv.reader(in_file)
    result = [[item for item in row if item != ''] for row in reader]

print result

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