ValueError: could not convert string to float: X

[kuheli1991]

i have the following code:

from numpy import *
import operator

def createDataSet():
    groups = array([[1.0,1.1],[1.0,1.0],[0,0],[0,.1]])
    labels = ['A','A','B','B']
    return groups, labels
                  
def classify0(inX,dataSet,labels,k):
    dataSetSize = dataSet.shape[0]
    print(dataSetSize)
    diffMat = tile(inX,(dataSetSize,1)) - dataSet
    print(diffMat)
    sqDiffMat = diffMat**2
    print(sqDiffMat)
    sqDistances = sqDiffMat.sum(axis=1)
    print(sqDistances)
    distances = sqDistances**0.5
    sortedDistIndicies = distances.argsort()
    print(sortedDistIndicies)
    classCount = {}
    for i in range(k) :
        print i
        voteIlabel = labels[sortedDistIndicies[i]]
        print(voteIlabel)
        classCount[voteIlabel] = classCount.get(voteIlabel,0) + 1
        print(classCount)
        sortedClassCount = sorted(classCount.iteritems(),key=operator.itemgetter(1),
                                  reverse = True)
        print(sortedClassCount)
    return sortedClassCount[0][0]

def file2matrix(filename):
    fr = open(filename)
    arrayOLines = fr.readlines()
    numberOfLines = len(arrayOLines)            #get the number of lines in the file
    returnMat = (zeros((numberOfLines,3)))        #prepare matrix to return
    classLabelVector = []                       #prepare labels return
    print numberOfLines
    
    index = 0
    for line in arrayOLines:
        line = line.strip()
        listFromLine = line.split('\t')
        print index
##        print listFromLine
##        returnMat[index ,:] = array(listFromLine[0])
        returnMat[index,:] =['X','Y','Z']
##        returnMat[index ,2] = listFromLine[2]
##        returnMat[index ,3] = listFromLine[3]
        classLabelVector.append(listFromLine[0])
        index += 1
    return returnMat,classLabelVector

def autoNorm(dataSet):
    minVals = dataSet.min(0)
    maxVals = dataSet.max(0)
    ranges = maxVals - minVals
    normDataSet = zeros(shape(dataSet))
    m = dataSet.shape[0]
    normDataSet = dataSet - tile(minVals, (m,1))
    normDataSet = normDataSet/tile(ranges, (m,1))   #element wise divide
    return normDataSet, ranges, minVals

the other code is:
import my_bayes as kNN
datingDataMat,datingLabels = kNN.file2matrix('train.txt')
##print datingLabels
##print datingDataMat

the error is comming:
Traceback (most recent call last):
File "D:\python_fold er\python_2002\ run_mybayes.py" , line 2, in <module>
datingDataMat,d atingLabels = kNN.file2matrix ('train.txt')
File "D:\python_fold er\python_2002\ my_bayes.py", line 48, in file2matrix
returnMat[index,:] =['X','Y','Z']
ValueError: could not convert string to float: X

[bvdet]

The array initialized by numpy.zeros expects float values. You get the same error if you did this:

>>> float('A')
Traceback (most recent call last):
  File "<interactive input>", line 1, in <module>
ValueError: could not convert string to float: A
>>>