Python读取mat文件,并保存为pickle格式的方法_Python

Python读取mat文件,并保存为pickle格式的方法

2021-04-12 00:16hdc Python

今天小编就为大家分享一篇Python读取mat文件,并保存为pickle格式的方法，具有很好的参考价值，希望对大家有所帮助。一起跟随小编过来看看吧

这两天在搞Theano，要把mat文件转成pickle格式载入Python。

Matlab是把一维数组当做n*1的矩阵的，但Numpy里还是有vector和matrix的区别，Theano也是对二者做了区分。

直接把代码贴出来吧，好像也没什么可讲的 = =

									from scipy.io import loadmat

									import numpy, cPickle

									data_dict=loadmat(r'E:\dataset\CIFAR10\CIFAR10_small.mat') #need an r!

									my_array=numpy.array([1,1])

									for key in data_dict.keys():

									 if type(data_dict[key]) == type(my_array):

									  #print matrix information

									  print key, type(data_dict[key]),

									  print data_dict[key].shape

									#shape(n,1) (matrix in theano) -> shape(n,) (vector in theano)

									print data_dict['Ytr'].shape

									Ytr=numpy.hstack(data_dict['Ytr'])

									Yte=numpy.hstack(data_dict['Yte'])

									Yte=numpy.hstack(data_dict['Yte'])

									print Ytr.shape

									train_set=(data_dict['Xtr'],Ytr)

									valid_set =(data_dict['Xte'],Yte)

									test_set =(data_dict['Xte'],Yte)

									output = open('cifar10_small_v.pkl', 'wb')

									cPickle.dump(train_set, output)

									cPickle.dump(valid_set, output)

									cPickle.dump(test_set, output)

									output.close()

									print 'save is done'

									pkl_file = open('cifar10_small_v.pkl', 'rb')

									data1 = cPickle.load(pkl_file) # is train_set

									data2 = cPickle.load(pkl_file) # is valid_set

									data3 = cPickle.load(pkl_file) # is test_set

									print type(data1[1]),data1[1].shape

									pkl_file.close()