The Scipy.io (Input and Output) package provides a wide range of functions to work around with different format of files. Some of these formats are −
- Matlab
- IDL
- Matrix Market
- Wave
- Arff
- Netcdf, etc.
Let us discuss in detail about the most commonly used file formats −
MATLAB
Following are the functions used to load and save a .mat file.
| Sr. No. | Function & Description |
|---|---|
| 1 | loadmatLoads a MATLAB file |
| 2 | savematSaves a MATLAB file |
| 3 | whosmatLists variables inside a MATLAB file |
Let us consider the following example.
import scipy.io as sio
import numpy as np
#Save a mat file
vect = np.arange(10)
sio.savemat('array.mat', {'vect':vect})
#Now Load the File
mat_file_content = sio.loadmat(‘array.mat’)
Print mat_file_content
The above program will generate the following output.
{
'vect': array([[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]]), '__version__': '1.0',
'__header__': 'MATLAB 5.0 MAT-file Platform: posix, Created on: Sat Sep 30
09:49:32 2017', '__globals__': []
}
We can see the array along with the Meta information. If we want to inspect the contents of a MATLAB file without reading the data into memory, use the whosmat command as shown below.
import scipy.io as sio mat_file_content = sio.whosmat(‘array.mat’) print mat_file_content
The above program will generate the following output.
[('vect', (1, 10), 'int64')]