deepmr.io.read_matfile#
- deepmr.io.read_matfile(filepath, return_fullpath=False)[source]#
Read matfile as a Python dictionary.
Automatically handle legacy and HDF5 (i.e., -v7.3) formats.
- Parameters:
- Returns:
Deserialized matfile.
- Return type:
Example
>>> from os.path import dirname, join as pjoin >>> import scipy.io as sio
Get the filename for an example .mat file from the tests/data directory.
>>> dir = pjoin(dirname(sio.__file__), 'matlab', 'tests', 'data') >>> filepath = pjoin(dir, 'testdouble_7.4_GLNX86.mat')
Load the .mat file contents.
>>> import deepmr.io >>> matfile = deepmr.io.read_matfile(filepath)
The result is a dictionary, one key/value pair for each variable:
>>> matfile.keys() ['testdouble'] >>> matfile['testdouble'] array([[0. , 0.78539816, 1.57079633, 2.35619449, 3.14159265, 3.92699082, 4.71238898, 5.49778714, 6.28318531]])
Contrary to
scipy.io
, this will load matlab v7.3 files as well, usingmat73
library [1]. In addition,__global__
,__header__
and__version__
fields are automatically discarded.References
[1]: skjerns/mat7.3