could not convert string to float in python - pandas

Question

i try to analysis the Principle Component from cvs file but when i run the code i get this error
C:\Users\Lenovo\Desktop>python pca.py
ValueError: could not convert string to float: Annee;NET;INT;SUB;LMT;DCT;IMM;EXP;VRD
this is my cvs file
i try to remove any space and any think
this is my python script, i don't know what i miss
Note: i run this code under python2.7
from sklearn.externals import joblib
import numpy as np
import glob
import os
import time
import numpy
my_matrix = numpy.loadtxt(open("pca.csv","rb"),delimiter= ",",skiprows=0)
def pca(dataMat, r, autoset_r=False, autoset_rate=0.9):
"""
purpose: principal components analysis
"""
print("Start to do PCA...")
t1 = time.time()
meanVal = np.mean(dataMat, axis=0)
meanRemoved = dataMat - meanVal
# normData = meanRemoved / np.std(dataMat)
covMat = np.cov(meanRemoved, rowvar=0)
eigVals, eigVects = np.linalg.eig(np.mat(covMat))
eigValIndex = np.argsort(-eigVals)
if autoset_r:
r = autoset_eigNum(eigVals, autoset_rate)
print("autoset: take top {} of {} features".format(r, meanRemoved.shape[1]))
r_eigValIndex = eigValIndex[:r]
r_eigVect = eigVects[:, r_eigValIndex]
lowDDataMat = meanRemoved * r_eigVect
reconMat = (lowDDataMat * r_eigVect.T) + meanVal
t2 = time.time()
print("PCA takes %f seconds" %(t2-t1))
joblib.dump(r_eigVect, './pca_args_save/r_eigVect.eig')
joblib.dump(meanVal, './pca_args_save/meanVal.mean')
return lowDDataMat, reconMat
def autoset_eigNum(eigValues, rate=0.99):
eigValues_sorted = sorted(eigValues, reverse=True)
eigVals_total = eigValues.sum()
for i in range(1, len(eigValues_sorted)+1):
eigVals_sum = sum(eigValues_sorted[:i])
if eigVals_sum / eigVals_total >= rate:
break
return i

Answer 1

It seemed that NumPy has some problem parsing your index row to float.
Try setting skiprows = 1 in your np.readtxt command in order to skip the table header.