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How to access fields in a struct imported from a .mat file using loadmat in Python?

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问题 Following this question which asks (and answers) how to read .mat files that were created in Matlab using Scipy, I want to know how to access the fields in the imported structs. I have a file in Matlab from which I can import a struct: >> load bla % imports a struct called G >> G G = Inp: [40x40x2016 uint8] Tgt: [8x2016 double] Ltr: [1x2016 double] Relevant: [1 2 3 4 5 6 7 8] Now I want to do the same in Python: x = scipy.io.loadmat('bla.mat') >>> x {'__version__': '1.0', '__header__':

Access .mat file containing matlab classes in python

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I have a .mat file generated from matlab 2012b. It contains a variable with a user-defined matlab class. When loading the file using scipy.io.loadmat in python 3.3, I get the following: mat=scipy.io.loadmat('D:\test.mat') mat {'__header__': b'MATLAB 5.0 MAT-file, Platform: PCWIN64, Created on: Fri Feb 22 15:26:28 2013', '__function_workspace__': array([[ 0, 1, 73, ..., 0, 0, 0]], dtype=uint8), '__globals__': [], '__version__': '1.0', 'None': MatlabOpaque([ (b'futureDS', b'MCOS', b'cStream', [[3707764736], [2], [1], [1], [1], [1]])], dtype=[('s0', 'O'), ('s1', 'O'), ('s2', 'O'), ('arr', 'O')])}

MATLAB: Differences between .mat versions

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The official documentation states the following: . But I have noticed that there are other important differences besides those stated in the table above. For example, saving a cell array with about 6,000 elements that occupies 176 MB of memory in MATLAB gives me the following results depending on whether I use -v7 or -v7.3 : With -v7 : File size = 15 MB , and save & load is fast . With -v7.3 : File size = 400 MB , and save & load is very slow (probably in part because of the large file size). Has anybody else noticed these differences? Update 1 : As the replies point out, -v7.3 relies on HDF5

reading v 7.3 mat file in python

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问题 I am trying to read a matlab file with the following code import scipy.io mat = scipy.io.loadmat('test.mat') and it gives me the following error raise NotImplementedError('Please use HDF reader for matlab v7.3 files') NotImplementedError: Please use HDF reader for matlab v7.3 files so could anyone please had the same problem and could please any sample code thanks 回答1: Try using h5py module import h5py with h5py.File('test.mat', 'r') as f: f.keys() 回答2: import h5py import numpy as np filepath

How can I load large files (~150MB) in MATLAB?

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问题 I have a large MATLAB file (150MB) in matrix form (i.e. 4070x4070). I need to work on this file in MATLAB but I can't seem to load this file. I am getting an "out of memory" error. Is there any other way I can load this size of file? I am using a 32bit processor and have 2GB of RAM. Please help me, I am getting exhausted from dealing with this problem. 回答1: Starting from release R2011b (ver.7.13) there is a new object matlab.io.MatFile with MATFILE as a constructor. It allows to load and save

Access .mat file containing matlab classes in python

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问题 I have a .mat file generated from matlab 2012b. It contains a variable with a user-defined matlab class. When loading the file using scipy.io.loadmat in python 3.3, I get the following: mat=scipy.io.loadmat('D:\test.mat') mat {'__header__': b'MATLAB 5.0 MAT-file, Platform: PCWIN64, Created on: Fri Feb 22 15:26:28 2013', '__function_workspace__': array([[ 0, 1, 73, ..., 0, 0, 0]], dtype=uint8), '__globals__': [], '__version__': '1.0', 'None': MatlabOpaque([ (b'futureDS', b'MCOS', b'cStream', [

MATLAB: Differences between .mat versions

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问题 The official documentation states the following: . But I have noticed that there are other important differences besides those stated in the table above. For example, saving a cell array with about 6,000 elements that occupies 176 MB of memory in MATLAB gives me the following results depending on whether I use -v7 or -v7.3 : With -v7 : File size = 15 MB , and save & load is fast . With -v7.3 : File size = 400 MB , and save & load is very slow (probably in part because of the large file size).

Read .mat files in Python

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问题 Is it possible to read binary MATLAB .mat files in Python? I\'ve seen that SciPy has alleged support for reading .mat files, but I\'m unsuccessful with it. I installed SciPy version 0.7.0, and I can\'t find the loadmat() method. 回答1: An import is required, import scipy.io ... import scipy.io mat = scipy.io.loadmat('file.mat') 回答2: Neither scipy.io.savemat , nor scipy.io.loadmat work for MATLAB arrays version 7.3. But the good part is that MATLAB version 7.3 files are hdf5 datasets. So they