开发笔记:线性回归读取txt

1.000000 0.067732 3.176513
1.000000 0.427810 3.816464
1.000000 0.995731 4.550095
1.000000 0.738336 4.256571
1.000000 0.981083 4.560815
1.000000 0.526171 3.929515
1.000000 0.378887 3.526170
1.000000 0.033859 3.156393
1.000000 0.132791 3.110301
1.000000 0.138306 3.149813

from numpy import *
import numpy as np
def loadDataSet(fileName): #general function to parse tab -delimited floats
numFeat = len(open(fileName).readline().split(‘ ‘)) - 1 #get number of fields
dataMat = []
labelMat = []
fr = open(fileName)
for line in fr.readlines():
lineArr =[]
curLine = line.strip().split(‘ ‘)
for i in range(numFeat):
lineArr.append(float(curLine[i]))
dataMat.append(lineArr)
labelMat.append(float(curLine[-1]))
return dataMat,labelMat
xArr,yArr=loadDataSet("ex0.txt")
print(xArr[:10])
print(yArr[:10])