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scipy.io.matlab.

# savemat

scipy.io.matlab.savemat(file_name, mdict, appendmat=True, format='5', long_field_names=False, do_compression=False, oned_as='row')

  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. Note that if this dict has a key starting with `_` or a sub-dict has a key starting with `_` or a digit, these key’s items will not be saved in the mat file and `MatWriteWarning` will be issued.

    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)