Pythonデータとmatlabデータ変換

http://blog.csdn.net/landiaoxinqing/article/details/48622057
1.Pythonデータとmatlabデータ変換
1.1 Pythonロードと書き込み.matファイル
File IO（scipy.io）

See also
numpy-reference.routines.io (in numpy)

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MATLAB files

*loadmat(file_name[, mdict, appendmat])*    Load MATLAB file
*savemat(file_name, mdict[, appendmat, ...])*   Save a dictionary of names and arrays into a MATLAB-style .mat file.
*whosmat(file_name[, appendmat])*   List variables inside a MATLAB file

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How to do

import scipy.io as sio
mat_contents = sio.loadmat('octave_a.mat')
mat_contents
>>>{'a': array([[[  1.,   4.,   7.,  10.],
        [  2.,   5.,   8.,  11.],
        [  3.,   6.,   9.,  12.]]]),
 '__version__': '1.0',
 '__header__': 'MATLAB 5.0 MAT-file, written by
 Octave 3.6.3, 2013-02-17 21:02:11 UTC',
 '__globals__': []}

oct_a = mat_contents['a']
oct_a
>>>array([[[  1.,   4.,   7.,  10.],
        [  2.,   5.,   8.,  11.],
        [  3.,   6.,   9.,  12.]]])

oct_a.shape
>>>(1, 3, 4)

sio.savemat('np_vector.mat', {'vect':vect})

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If you want to inspect the content of a MATLAB file without reading the data into memory、use the whosmand:

sio.whosmat('octave_a.mat')
>>>[('a', (1, 3, 4), 'double')]

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高バージョンの.matデータの読み書きには、別のインターフェースが必要です。

import h5py
datasets = F:/MuraDefectData_6X6_10W_NonZCA_Batches.mat'

f = h5py.File(datasets, 'r')
TotalBatchImg = f['TotalBatchImg']
TotalBatchImg = np.array(TotalBatchImg)
wSize = f['wSize']
wSize = np.array(wSize)