1. Import continuous data into Matlab using TDTbin2mat. Export to binary files that are read into Corpus as PZ5 data. Use SynapseAPI to generate new recordings with. Get ready for next iteration syn.setModeStr('Idle'); T1 = T1 + DELTA; end.
2. If you want to inspect the contents of a MATLAB file without reading the data into memory, use the whosmat command: sio. Whosmat ( 'octavea.mat' ) ('a', (1, 3, 4), 'double') whosmat returns a list of tuples, one for each array (or other object) in the file.

1. Read Matlab Files In Idle Download

This code uses one of the workers (lab #1) to read from the file. Each lab will sit idle until it receives data from lab #1, and then will process.

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.

Peter MortensenGilad NaorGilad Naor

7 Answers

user8408080Gilad NaorGilad Naor

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 can be read using a number of tools, including NumPy.

For Python, you will need the h5py extension, which requires HDF5 on your system.

Peter Mortensen

Read Matlab Files In Idle Download

vikranttvikrantt

First save the .mat file as:

After that, in Python, use the usual loadmat function:

Peter Mortensen

There is a nice package called mat4py which can easily be installed using

It is straightforward to use (from the website):

Load data from a MAT-file

The function loadmat loads all variables stored in the MAT-file into a simple Python data structure, using only Python’s dict and list objects. Numeric and cell arrays are converted to row-ordered nested lists. Arrays are squeezed to eliminate arrays with only one element. The resulting data structure is composed of simple types that are compatible with the JSON format.

Example: Load a MAT-file into a Python data structure:

The variable data is a dict with the variables and values contained in the MAT-file.

Save a Python data structure to a MAT-file

Python data can be saved to a MAT-file, with the function savemat. Data has to be structured in the same way as for loadmat, i.e. it should be composed of simple data types, like dict, list, str, int, and float.

Example: Save a Python data structure to a MAT-file:

The parameter data shall be a dict with the variables.

Peter MortensenClebCleb

Having MATLAB 2014b or newer installed, the MATLAB engine for Python could be used:

Peter MortensenDanielDaniel

Reading the file

Inspecting the type of MAT variable

The keys inside the dictionary are MATLAB variables, and the values are the objects assigned to those variables.

Peter Mortensen

There is also the MATLAB Engine for Python by MathWorks itself. If you have MATLAB, this might be worth considering (I haven't tried it myself but it has a lot more functionality than just reading MATLAB files). However, I don't know if it is allowed to distribute it to other users (it is probably not a problem if those persons have MATLAB. Otherwise, maybe NumPy is the right way to go?).

Also, if you want to do all the basics yourself, MathWorks provides (if the link changes, try to google for matfile_format.pdf or its title MAT-FILE Format) a detailed documentation on the structure of the file format. It's not as complicated as I personally thought, but obviously, this is not the easiest way to go. It also depends on how many features of the .mat-files you want to support.

I've written a 'small' (about 700 lines) Python script which can read some basic .mat-files. I'm neither a Python expert nor a beginner and it took me about two days to write it (using the MathWorks documentation linked above). I've learned a lot of new stuff and it was quite fun (most of the time). As I've written the Python script at work, I'm afraid I cannot publish it... But I can give some advice here:

• First read the documentation.
• Use a hex editor (such as HxD) and look into a reference .mat-file you want to parse.
• Try to figure out the meaning of each byte by saving the bytes to a .txt file and annotate each line.
• Use classes to save each data element (such as miCOMPRESSED, miMATRIX, mxDOUBLE, or miINT32)
• The .mat-files' structure is optimal for saving the data elements in a tree data structure; each node has one class and subnodes

Peter Mortensenmozzbozzmozzbozz

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