With python and numpy to deal with data more times, wrote a few small functions, you can easily read and write data:
# -*- coding: utf-8 -*-
#----------------------------------------------------------------------
# FileName:gettxtdata.py
# function : Reads numeric data in strings and files ( Floating point Numbers )
# Mainly provide similar matlab In the dlmread and dlmwrite function
# At the same time provide loadtxtdata and savetxtdata function
#Data: 2013-1-10
#Author: Wu Xu flat
#----------------------------------------------------------------------
import numpy
#----------------------------------------------------------------------
def StringToDoubleArray(String):
"""
# All non - string Double Type characters are all replaced with Spaces
# In order to '#' Comment from the beginning to the end of the line , Have been cleared
# Returns a d numpy.array An array of
"""
from StringIO import StringIO
import re
DataArray=numpy.empty([0],numpy.float64)
if len(String.strip())>0:
# Empty comment lines , Are based on '#' Opening character
doublestring=re.sub('#.*$', " ", String, count=0, flags=re.IGNORECASE)
# Delete non-numeric characters
doublestring=re.sub('[^0-9.e+-]', " ", doublestring, count=0, flags=re.IGNORECASE)
# Remove incorrect number formatting ( Code duplication is necessary )
doublestring=re.sub('[.e+-](?=s)', " ", doublestring, count=0, flags=re.IGNORECASE)
doublestring=re.sub('[.e+-](?=s)', " ", doublestring, count=0, flags=re.IGNORECASE)
doublestring=re.sub('[e+-]$', " ", doublestring, count=0, flags=re.IGNORECASE)
doublestring=re.sub('[e+-]$', " ", doublestring, count=0, flags=re.IGNORECASE)
# Remove Spaces
doublestring=doublestring.strip()
if len(doublestring)>0:
StrIOds=StringIO(doublestring)
DataArray= numpy.genfromtxt(StrIOds)
return DataArray
#----------------------------------------------------------------------
def GetDoubleListFromString(String):
"""
# Split the string with a newline character
# All non - string Double Type characters are all replaced with Spaces
# In order to '#' Comment from the beginning to the end of the line , Have been cleared
# Convert each row to numpy.array An array of
# return numpy.array List of arrays
"""
from StringIO import StringIO
import re
DoubleList=[]
StringList=String.split('n')# Split the string with a newline character
for Line in StringList:
if len(Line.strip())>0:
# Empty comment lines , Are based on '#' Opening character
doublestring=re.sub('#.*$', " ", Line, count=0, flags=re.IGNORECASE)
# Delete non-numeric characters
doublestring=re.sub('[^0-9.e+-]', " ", doublestring, count=0, flags=re.IGNORECASE)
# Remove incorrect number formatting ( Code duplication is necessary )
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)
# Remove Spaces
doublestring=doublestring.strip()
if len(doublestring)>0:
StrIOds=StringIO(doublestring)
DoubleList.append(numpy.genfromtxt(StrIOds))
return DoubleList
#----------------------------------------------------------------------
def GetDoubleListFromFile(FileName):
"""
# Will text all in the file Double Type characters are all replaced with numpy.array An array of
# Every row numpy.array An array of
## return numpy.array List of arrays
# Pay attention to : Each element in the returned list is one again numpy.array An array of
# Pay attention to : Returns each element of the list ( Or file per line ) It can contain Numbers of different Numbers
"""
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.
# The delimiter defaults to :";",",", Space class ( including t) , etc.
# In order to # The beginning is considered a comment , Will not be read
#Return Value: Two dimensional array of values (numpy.ndarray)
# Minimum requirement for arrangement of data in text , Comment characters are allowed , The highest degree of intelligence , But it's slower
"""
DoubleList=GetDoubleListFromFile(FileName)
dlsize=[]# The size of each row of the array
for dL in DoubleList:
dlsize.append(dL.size)
MinColumnSize=min(dlsize)# The maximum number of columns in an array
MaxColumnSize=max(dlsize)# The minimum number of columns in an array
# Array creation and assignment
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.
# The delimiter defaults to :";",",", Space class ( including t) And custom delimiter Etc.
#Return Value: Two dimensional array of values (numpy.ndarray)
# The arrangement format of the data in the text is highly required , Comment characters are not allowed , The intelligence degree is low , But it's faster
"""
from StringIO import StringIO
import re
file_handle=open(filename,'r')
LinesALL=file_handle.read()# Read in string
file_handle.close()
DelimiterALL=delimiter+",;"# The separator
SpaceString=" "# The blank space
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
#----------------------------------------------------------------------
# The test program
#----------------------------------------------------------------------
if __name__ == '__main__':
# Generate random number
data=numpy.random.randn(3,4)
filename='D:/x.txt'
# Written to the file
dlmwrite(filename,data)
x=GetDoubleListFromFile(filename)
print(x)
print(dlmread(filename))
y=StringToDoubleArray('79l890joj')
print(y)
z=loadtxtdata(filename)
print(z)I’ve only tried it in python2.7, and if you want to use it in python3.x, you can test it yourself.