scipy.io.savemat#
- scipy.io.savemat(file_name, mdict, appendmat=True, format='5', long_field_names=False, do_compression=False, oned_as='row')[source]#
Save a dictionary of names and arrays into a MATLAB-style .mat file.
This saves the array objects in the given dictionary to a MATLAB- style .mat file.
- Parameters:
- file_namestr or file-like object
Name of the .mat file (.mat extension not needed if
appendmat == True
). Can also pass open file_like object.- mdictdict
Dictionary from which to save matfile variables.
- appendmatbool, optional
True (the default) to append the .mat extension to the end of the given filename, if not already present.
- format{‘5’, ‘4’}, string, optional
‘5’ (the default) for MATLAB 5 and up (to 7.2), ‘4’ for MATLAB 4 .mat files.
- long_field_namesbool, optional
False (the default) - maximum field name length in a structure is 31 characters which is the documented maximum length. True - maximum field name length in a structure is 63 characters which works for MATLAB 7.6+.
- do_compressionbool, optional
Whether or not to compress matrices on write. Default is False.
- oned_as{‘row’, ‘column’}, optional
If ‘column’, write 1-D NumPy arrays as column vectors. If ‘row’, write 1-D NumPy arrays as row vectors.
Examples
>>> from scipy.io import savemat >>> import numpy as np >>> a = np.arange(20) >>> mdic = {"a": a, "label": "experiment"} >>> mdic {'a': array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19]), 'label': 'experiment'} >>> savemat("matlab_matrix.mat", mdic)