Matrix from Python to MATLAB

If you use numpy/scipy, you can use the scipy.io.savemat function:

import numpy, scipy.ioarr = numpy.arange(9) # 1d array of 9 numbersarr = arr.reshape((3, 3))  # 2d array of 3x3scipy.io.savemat('c:/tmp/arrdata.mat', mdict={'arr': arr})

Now, you can load this data into MATLAB using File -> Load Data. Select the file and the arr variable (a 3x3 matrix) will be available in your environment.

Note: I did this on scipy 0.7.0. (scipy 0.6 has savemat in the scipy.io.mio module.) See the latest documentation for more detail

EDIT: updated link thanks to @gnovice.

I think ars has the most straight-forward answer for saving the data to a .mat file from Python (using savemat). To add just a little to their answer, you can also load the .mat file into MATLAB programmatically using the LOAD function instead of doing it by hand using the MATLAB command window menu...

You can use either the command syntax form of LOAD:

load c:/tmp/arrdata.mat

or the function syntax form (if you have the file path stored in a string):

filePath = 'c:/tmp/arrdata.mat';data = load(filePath);

I wrote a small function to do this same thing, without need for numpy. It takes a list of lists and returns a string with a MATLAB-formatted matrix.

def arrayOfArrayToMatlabString(array):    return '[' + "\n ".join(" ".join("%6g" % val for val in line) for line in array) + ']'

Write "myMatrix = " + arrayOfArrayToMatlabString(array) to a .m file, open it in matlab, and execute it.