使用numpy很容易在python中将数据读入内存

使用numpy很容易在python中将数据读入内存:

# -*- coding: utf-8 -*-#----------------------------------def dlmread(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    #开头的行被认为是注释,不会被读取    Return Value:    二维数值数组(numpy.ndarray)    """    import numpy     from StringIO import StringIO        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 loaddata(filename):    """    Load Data From Txt-File.    分隔符默认是:";",",",空格类 (包括\t)等    #开头的行被认为是注释,不会被读取    Return Value:    二维数值数组(numpy.ndarray)   """                return dlmread(filename)  #----------------------------------    #---------------------------------- if __name__ == '__main__':    fn='x.txt'    data1=loaddata(fn)    data2=dlmread(fn)        print(data1)    print("-"*30)    print(data2)

上面的dlmread函数使用起来很方便的.