解决PermissionError: [Errno 13] Permission denied: ‘./data\\train-labels.idx1-ubyte‘

from __future__ import print_function
import os
import struct
import numpy as np
def load_mnist(path,kind='train'):
    labels_path = os.path.join(path, '%s-labels.idx1-ubyte' % kind)
    images_path=os.path.join(path,'%s-images.idx3-ubyte'%kind)
    with open(labels_path,'rb') as lbpath:
        magic,n=struct.unpack('>II',lbpath.read(8))
        labels=np.fromfile(lbpath,dtype=np.uint8)
    with open(images_path,'rb') as imgpath:
        magic,num,rows,cols=struct.unpack(">IIII",imgpath.read(16))
        # labels=np.array(labels)
        images=np.fromfile(imgpath,dtype=np.uint8).reshape(len(labels),784)
    return images,labels
X_train,Y_train =load_mnist('./data',kind='train')
print('Rows:%d,columns:%d'%(X_train.shape[0],X_train.shape[1]))
X_test,Y_test=load_mnist('./data',kind='t10k')
print('Rows:%d,columns:%d'%(X_train.shape[0],X_train.shape[1]))

PermissionError: [Errno 13] Permission denied: ‘./data\\train-labels.idx1-ubyte’ 

在使用mnist数据集的时候出现permission denied的报错，在windows系统中需要明确文件，更改labels_path和images_path如下可以解决：

labels_path=os.path.join(path,'%s-labels.idx1-ubyte/%s-labels.idx1-ubyte'%(kind,kind))
images_path = os.path.join(path, '%s-images.idx3-ubyte/%s-images.idx3-ubyte' % (kind,kind))

完整代码：

from __future__ import print_function
import os
import struct
import numpy as np
def load_mnist(path,kind='train'):
    labels_path=os.path.join(path,'%s-labels.idx1-ubyte/%s-labels.idx1-ubyte'%(kind,kind))
    images_path = os.path.join(path, '%s-images.idx3-ubyte/%s-images.idx3-ubyte' % (kind, kind))
    with open(labels_path,'rb') as lbpath:
        magic,n=struct.unpack('>II',lbpath.read(8))
        labels=np.fromfile(lbpath,dtype=np.uint8)
    with open(images_path,'rb') as imgpath:
        magic,num,rows,cols=struct.unpack(">IIII",imgpath.read(16))
        # labels=np.array(labels)
        images=np.fromfile(imgpath,dtype=np.uint8).reshape(len(labels),784)
    return images,labels
X_train,Y_train =load_mnist('./data',kind='train')
print('Rows:%d,columns:%d'%(X_train.shape[0],X_train.shape[1]))
X_test,Y_test=load_mnist('./data',kind='t10k')
print('Rows:%d,columns:%d'%(X_train.shape[0],X_train.shape[1]))

得到结果： 

Rows:60000,columns:784
Rows:60000,columns:784

Process finished with exit code 0