带空格

Question

我需要条纹从我读 导入CSV

aList=[] 
with open(self.filename, 'r') as f: 
    reader = csv.reader(f, delimiter=',', quoting=csv.QUOTE_NONE) 
    for row in reader: 
     aList.append(row) 
    # i need to strip the extra white space from each string in the row 
    return(aList) 

Answer 1

一个CSV文件中的空格你可以这样做：

aList.append([element.strip() for element in row]) 

Answer 2

with open(self.filename, 'r') as f: 
    reader = csv.reader(f, delimiter=',', quoting=csv.QUOTE_NONE) 
    return [[x.strip() for x in row] for row in reader] 

Answer 3

另外还有嵌入格式参数：skipinitialspace（默认为false） http://docs.python.org/2/library/csv.html#csv-fmt-params

aList=[] 
with open(self.filename, 'r') as f: 
    reader = csv.reader(f, skipinitialspace=False,delimiter=',', quoting=csv.QUOTE_NONE) 
    for row in reader: 
     aList.append(row) 
    return(aList) 

Answer 4

您可以在文件周围创建一个包装对象，在CSV阅读器看到它们之前剥去空间。这样，你甚至可以用cvs.DictReader使用csv文件。

import re 

class CSVSpaceStripper: 
    def __init__(self, filename): 
    self.fh = open(filename, "r") 
    self.surroundingWhiteSpace = re.compile("\s*;\s*") 
    self.leadingOrTrailingWhiteSpace = re.compile("^\s*|\s*$") 

    def close(self): 
    self.fh.close() 
    self.fh = None 

    def __iter__(self): 
    return self 

    def next(self): 
    line = self.fh.next() 
    line = self.surroundingWhiteSpace.sub(";", line) 
    line = self.leadingOrTrailingWhiteSpace.sub("", line) 
    return line 

然后使用它是这样的：

o = csv.reader(CSVSpaceStripper(filename), delimiter=";") 
o = csv.DictReader(CSVSpaceStripper(filename), delimiter=";") 

我硬编码";"作为分隔符。将代码概括为任何分隔符作为练习留给读者。

Answer 5

在我的情况下，我只关心从字段名称（又名列标题，又名字典键）中删除空格，当使用csv.DictReader时。

根据csv.DictReader创建一个类，并覆盖fieldnames属性以从每个字段名称（又名列标题，又名字典键）中删除空格。

通过获取字段名的常规列表，然后在创建新列表时使用从每个字段名称中除去空白字符并将基本_fieldnames属性设置为新列表来完成此操作。

import csv 

class DictReaderStrip(csv.DictReader): 
    @property          
    def fieldnames(self): 
     if self._fieldnames is None: 
      # Initialize self._fieldnames 
      # Note: DictReader is an old-style class, so can't use super() 
      csv.DictReader.fieldnames.fget(self) 
      if self._fieldnames is not None: 
       self._fieldnames = [name.strip() for name in self._fieldnames] 
     return self._fieldnames