神经网络学习代码，运行时报错 input X contains infinity or value too large for float64
datatrain = pd.read_csv('D:\搬砖项目\MachineLearningCSV\MachineLearningCVE\Monday-WorkingHours.pcap_ISCX.csv')
print('succeed read train dataset!')
datatrain = numpy.array(datatrain)
xtrain = datatrain[:,:78]
ytrain = datatrain[:,78]
xtrain = preprocessing.MinMaxScaler().fit_transform(xtrain)
xtrain=torch.from_numpy(xtrain)
ytrain = torch.from_numpy(ytrain)
.....（剩余代码不贴了
报错图片：
xtrain = preprocessing.MinMaxScaler().fit_transform(xtrain)处
查了很多相似问题，
！！但是我的csv文件里没有空值或者无穷值！！
检查有无空值或者无穷值的代码与结果：
(细心的朋友可能会发现两个截图用的文件不一样，之前报错的csv文件我也查了，结果和用的代码是一样的，我当时没有截图，于是用这个了，文件格式和数据内容是差不多的。
也尝试了read_csv时，设定dtype
train= pd.read_csv('D:\搬砖项目\MachineLearningCSV\MachineLearningCVE\Tuesday-WorkingHours.pcap_ISCX.csv',dtype={' Destination Port':np.float64,' Flow Duration':np.float64,' Total Fwd Packets':np.float64,' Total Backward Packets':np.float64,'Total Length of Fwd Packets':np.float64,' Total Length of Bwd Packets':np.float64,' Fwd Packet Length Max':np.float64,' Fwd Packet Length Min':np.float64,' Fwd Packet Length Mean':np.float64,' Fwd Packet Length Std':np.float64,'Bwd Packet Length Max':np.float64,' Bwd Packet Length Min':np.float64,' Bwd Packet Length Mean':np.float64,' Bwd Packet Length Std':np.float64,'Flow Bytes/s':np.float64,' Flow Packets/s':np.float64,' Flow IAT Mean':np.float64,' Flow IAT Std':np.float64,' Flow IAT Max':np.float64,' Flow IAT Min':np.float64,'Fwd IAT Total':np.float64,' Fwd IAT Mean':np.float64,' Fwd IAT Std':np.float64,' Fwd IAT Max':np.float64,' Fwd IAT Min':np.float64,'Bwd IAT Total':np.float64,' Bwd IAT Mean':np.float64,' Bwd IAT Std':np.float64,' Bwd IAT Max':np.float64,' Bwd IAT Min':np.float64,'Fwd PSH Flags':np.float64,' Bwd PSH Flags':np.float64,' Fwd URG Flags':np.float64,' Bwd URG Flags':np.float64,' Fwd Header Length':np.float64,' Bwd Header Length':np.float64,'Fwd Packets/s':np.float64,' Bwd Packets/s':np.float64,' Min Packet Length':np.float64,' Max Packet Length':np.float64,' Packet Length Mean':np.float64,' Packet Length Std':np.float64,' Packet Length Variance':np.float64,'FIN Flag Count':np.float64,' SYN Flag Count':np.float64,' RST Flag Count':np.float64,' PSH Flag Count':np.float64,' ACK Flag Count':np.float64,' URG Flag Count':np.float64,' CWE Flag Count':np.float64,' ECE Flag Count':np.float64,' Down/Up Ratio':np.float64,' Average Packet Size':np.float64,' Avg Fwd Segment Size':np.float64,' Avg Bwd Segment Size':np.float64,'Fwd Avg Bytes/Bulk':np.float64,' Fwd Avg Packets/Bulk':np.float64,' Fwd Avg Bulk Rate':np.float64,' Bwd Avg Bytes/Bulk':np.float64,' Bwd Avg Packets/Bulk':np.float64,'Bwd Avg Bulk Rate':np.float64,'Subflow Fwd Packets':np.float64,' Subflow Fwd Bytes':np.float64,' Subflow Bwd Packets':np.float64,' Subflow Bwd Bytes':np.float64,'Init_Win_bytes_forward':np.float64,' Init_Win_bytes_backward':np.float64,' act_data_pkt_fwd':np.float64,' min_seg_size_forward':np.float64,'Active Mean':np.float64,' Active Std':np.float64,' Active Max':np.float64,' Active Min':np.float64,'Idle Mean':np.float64,' Idle Std':np.float64,' Idle Max':np.float64,' Idle Min':np.float64,' Label':str})
train = np.array(train)
但是依然报相同的错
我的csv文件部分截图
到底怎么解决这个报错，已经花了很长时间debug，555555T-T，感谢大家能看看，给点解决方法和思路
