阅读文本文件时如何删除多个空格 [英] How to remove more than one space when reading text file

问题描述

问题：我似乎无法解析文本文件中的信息，因为python将其读取为完整字符串而不是单独的字符串。每个变量之间的空格不是\t，这就是为什么它不分开的原因。

Problem: I cannot seem to parse the information in a text file because python reads it as a full string not individual separate strings. The spaces between each variable is not a \t which is why it does not separate. Is there a way for python to flexibly remove the spaces and put a comma or \t instead?

示例数据：

MOR125-1   MOR129-1   0.587
MOR125-1   MOR129-3   0.598
MOR129-1   MOR129-3   0.115

我正在使用的代码：

with open("Distance_Data_No_Bootstrap_RAW.txt","rb") as f:
reader = csv.reader(f,delimiter="\t")
d=list(reader)
for i in range(3):
    print d[i]

输出：

['MOR125-1 MOR129-1 0.587']
['MOR125-1 MOR129-3 0.598']
['MOR129-1 MOR129-3 0.115']

所需的输出：

['MOR125-1', 'MOR129-1', '0.587']
['MOR125-1', 'MOR129-3', '0.598']
['MOR129-1', 'MOR129-3', '0.115']

推荐答案

您可以简单地将定界符声明为空格，然后让csv跳过定界符后的初始空格。这样，您的分隔符实际上就是正则表达式'+'，即一个或多个空格。

You can simply declare the delimiter to be a space, and ask csv to skip initial spaces after a delimiter. That way, your separator is in fact the regular expression ' +', that is one or more spaces.

rd = csv.reader(fd, delimiter=' ', skipinitialspace=True)
for row in rd:
    print row

['MOR125-1', 'MOR129-1', '0.587']
['MOR125-1', 'MOR129-3', '0.598']
['MOR129-1', 'MOR129-3', '0.115']

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