Time for action – saving and loading a .mat file

If we start with NumPy arrays and decide to use said arrays within a MATLAB or Octave environment, the easiest thing to do is create a .mat file. We can, then, load the file within MATLAB or Octave. Let's go through the necessary steps:

  1. Create a NumPy array and call the savemat() function to create a .mat file. This function has two parameters: a file name and a dictionary containing variable names and values:
    a = np.arange(7)

io.savemat("a.mat", {"array": a})
  2. Within a MATLAB or Octave environment, load the .mat file and check the stored array:
    octave-3.4.0:7> load a.mat
octave-3.4.0:8> a

octave-3.4.0:8> array
array =

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What just happened?

We created a .mat file from NumPy code and loaded it within Octave. We checked the NumPy array that was created (see scipyio.py):

import numpy as np
from scipy import io

a = np.arange(7)

io.savemat("a.mat", {"array": a})

Pop quiz – loading .mat files

Q1. Which function loads .mat files?

  1. Loadmatlab
  2. loadmat
  3. loadoct
  4. frommat
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