You can use the scipy.io.loadmat
function to load the cell array of strings from a MATLAB .mat file into a Python list or tuple. Here is an example:
Suppose you have a MATLAB file named "example.mat" that contains a cell array of strings named "myStrings", which you want to load into a Python list or tuple.
In MATLAB:
myStrings = {'foo', 'bar', 'baz'}; save('example.mat', 'myStrings');
In Python:
import scipy.io # Load the .mat file mat_contents = scipy.io.loadmat('example.mat') # Extract the cell array of strings mat_strings = mat_contents['myStrings'] # Convert the cell array to a Python list py_strings = [s[0] for s in mat_strings] # Alternatively, you can convert it to a tuple py_tuple = tuple(s[0] for s in mat_strings)
In the above example, we first load the contents of the MATLAB .mat file using scipy.io.loadmat
. We then extract the cell array of strings by accessing the dictionary key 'myStrings'
in the loaded data.
Next, we convert the cell array to a Python list using a list comprehension that iterates over each element of the cell array and extracts the string value using [0]
since the strings are stored as one-element arrays in the MATLAB cell array. Finally, we can convert the list to a tuple using the built-in tuple
function.