用python和numpy处理数据次数比较多,写了几个小函数,可以方便地读写数据:

# -*- coding: utf-8 -*-
#----------------------------------------------------------------------
# FileName:gettxtdata.py
#功能:读取字符串和文件中的数值数据(浮点数)
#主要提供类似matlab中的dlmread和dlmwrite函数
#同时提供loadtxtdata和savetxtdata函数
#Data: 2013-1-10
#Author:吴徐平
#----------------------------------------------------------------------
import numpy
#----------------------------------------------------------------------
def StringToDoubleArray(String):
  \"\"\"
  #将字符串中的所有非Double类型的字符全部替换成空格
  #以\'#\'开头注释直至行尾,都被清空
  #返回一维numpy.array数组

  \"\"\" 
  from StringIO import StringIO
  import re
  
  DataArray=numpy.empty([0],numpy.float64)

  if len(String.strip())>0:
    #清空注释行,都是以\'#\'开头子字符
    doublestring=re.sub(\'#.*$\', \" \", String, count=0, flags=re.IGNORECASE)
    #删除非数字字符      
    doublestring=re.sub(\'[^0-9.e+-]\', \" \", doublestring, count=0, flags=re.IGNORECASE)
    #去掉不正确的数字格式(代码重复是有必要的)
    doublestring=re.sub(\'[.e+-](?=\\s)\', \" \", doublestring, count=0, flags=re.IGNORECASE)
    doublestring=re.sub(\'[.e+-](?=\\s)\', \" \", doublestring, count=0, flags=re.IGNORECASE)
    doublestring=re.sub(\'[e+-]$\', \" \", doublestring, count=0, flags=re.IGNORECASE)
    doublestring=re.sub(\'[e+-]$\', \" \", doublestring, count=0, flags=re.IGNORECASE)
    #去掉首尾空格
    doublestring=doublestring.strip()
    if len(doublestring)>0:
      StrIOds=StringIO(doublestring)
      DataArray= numpy.genfromtxt(StrIOds)
  
  return DataArray

#----------------------------------------------------------------------
def GetDoubleListFromString(String):
  \"\"\"
  #使用换行符分割字符串
  #将字符串中的所有非Double类型的字符全部替换成空格
  #以\'#\'开头注释直至行尾,都被清空
  #将每一行转换成numpy.array数组
  #返回numpy.array数组的列表

  \"\"\" 
  from StringIO import StringIO
  import re
 
  DoubleList=[]
  StringList=String.split(\'\\n\')#使用换行符分割字符串
  for Line in StringList:
    if len(Line.strip())>0:
      #清空注释行,都是以\'#\'开头子字符
      doublestring=re.sub(\'#.*$\', \" \", Line, count=0, flags=re.IGNORECASE)
      #删除非数字字符      
      doublestring=re.sub(\'[^0-9.e+-]\', \" \", doublestring, count=0, flags=re.IGNORECASE)
      #去掉不正确的数字格式(代码重复是有必要的)
      doublestring=re.sub(\'[.e+-](?=\\s)\', \" \", doublestring, count=0, flags=re.IGNORECASE)
      doublestring=re.sub(\'[.e+-](?=\\s)\', \" \", doublestring, count=0, flags=re.IGNORECASE)
      doublestring=re.sub(\'[e+-]$\', \" \", doublestring, count=0, flags=re.IGNORECASE)
      doublestring=re.sub(\'[e+-]$\', \" \", doublestring, count=0, flags=re.IGNORECASE)
      #去掉首尾空格
      doublestring=doublestring.strip()
      if len(doublestring)>0:
        StrIOds=StringIO(doublestring)
        DoubleList.append(numpy.genfromtxt(StrIOds))   
  return DoubleList
  
#----------------------------------------------------------------------
def GetDoubleListFromFile(FileName):
  \"\"\"
  #将文本文件中的所有Double类型的字符全部替换成numpy.array数组
  #每一行都是numpy.array数组
  ##返回numpy.array数组的列表
  #注意:返回列表的每个元素又都是一个numpy.array数组
  #注意:返回列表的每个元素(或文件每行)可以包含不同多个数的数字

  \"\"\" 
  file=open(FileName, \'r\')
  read_file = file.read()
  file.close() 
  DoubleList=GetDoubleListFromString(read_file)
  return DoubleList

def dlmread(FileName,dtype=numpy.float64):
  \"\"\"
  #Load Data From Txt-File.
  #分隔符默认是:\";\",\",\",空格类 (包括\\t)等等
  #以#开头的被认为是注释,不会被读取
  #Return Value:二维数值数组(numpy.ndarray)
  #对文本中数据的排列格式要求最低,且容许出现注释字符,智能化程度最高,但速度较慢
  \"\"\"
  DoubleList=GetDoubleListFromFile(FileName)
  dlsize=[]#每一行数组的大小
  for dL in DoubleList:
    dlsize.append(dL.size)
    
  MinColumnSize=min(dlsize)#数组的最大列数
  MaxColumnSize=max(dlsize)#数组的最小列数
  #数组创建和赋值
  DoubleArray=numpy.empty([len(DoubleList),MinColumnSize],dtype=dtype)
  
  row=range(0,len(DoubleList))
  colum=range(0,MinColumnSize)
  
  for i in row:
    for j in colum:
      DoubleArray[i][j]=DoubleList[i][j] 
    
  return DoubleArray
#----------------------------------------------------------------------

def loadtxtdata(filename,delimiter=\"\"):
  \"\"\"
  #Load Data From Txt-File with delimiter.
  #分隔符默认是:\";\",\",\",空格类 (包括\\t)和自定义的delimiter等
  #Return Value:  二维数值数组(numpy.ndarray)
  #对文本中数据的排列格式要求较高,且不容许出现注释字符,智能化程度较低,但速度较快
  \"\"\"
  from StringIO import StringIO
  import re
  
  file_handle=open(filename,\'r\')
  LinesALL=file_handle.read()#读入字符串
  file_handle.close()
  
  DelimiterALL=delimiter+\",;\"#分隔符
  SpaceString=\" \"#空格
  for RChar in DelimiterALL:
    LinesALL=LinesALL.replace(RChar,SpaceString)
    
  return numpy.genfromtxt(StringIO(LinesALL))
  
#----------------------------------------------------------------------  
def savetxtdata(filename, X, fmt=\'%.8e\', delimiter=\' \', newline=\'\\n\'):
  \"\"\"
  Save Data To Txt-File.
  \"\"\"
  numpy.savetxt(filename, X, fmt=fmt, delimiter=delimiter, newline=newline)   
  return True
  
#----------------------------------------------------------------------
def dlmwrite(filename, X, fmt=\'%.8e\', delimiter=\' \', newline=\'\\n\'):
  \"\"\"
  Save Data To Txt-File.
  \"\"\"
  numpy.savetxt(filename, X, fmt=fmt, delimiter=delimiter, newline=newline)   
  return True
  
#----------------------------------------------------------------------
#测试程序 
#----------------------------------------------------------------------
if __name__ == \'__main__\':
  #生成随机数
  data=numpy.random.randn(3,4)
  filename=\'D:/x.txt\'
  #写入文件
  dlmwrite(filename,data)
  x=GetDoubleListFromFile(filename)
  print(x)
  print(dlmread(filename))
  y=StringToDoubleArray(\'79l890joj\')
  print(y)
  z=loadtxtdata(filename)
  print(z)

我只在python2.7中试过,如果要在python3.x中使用,可自行测试.