LD=loadDatas()
userMat=LD.makeRatingMatWithoutUserID()
print(type(userMat))
userRatingMat=pd.DataFrame(userMat,index=np.arange(1,944),columns=np.arange(1,1683))
print(type(userRatingMat)) userMat1=pd.read_csv('./data/userRatingTable.csv',header=None)
userMat1.index=range(1,944)
userMat1.columns=range(1,1683)
print(type(userMat1)) exit()
输出:
<class 'numpy.ndarray'>
<class 'pandas.core.frame.DataFrame'>
<class 'pandas.core.frame.DataFrame'>
userRatingMat=pd.read_csv('./data/userRatingTable.csv',header=None)
userRatingMat.index=range(1,944)
userRatingMat.columns=range(1,1683)
print(userRatingMat[4][10])#注意::这里前后颠倒了,表示矩阵中用户10对项目4的评分,即评分为4