Python: Issue Reading In Str From MATLAB .mat File Using H5py And NumPy
I am having difficulty loading in 'str' variables 'Et' (Endtime) and 'St' (Starttime) from a MATLAB .mat file into Python. I want identical output as in MATLAB. Instead I have had
Solution 1:
If you don't mind the variable type of etime
and stime
stored in file.mat
and you can store them as type char
instead of string
, you could read them in Python by: bytes(f.get(your_variable).value).decode('utf-8')
. In your case:
data = {
"average": np.array(f.get('average')),
"median": np.array(f.get('median')),
"stdev": np.array(f.get('stdev')),
"P10": np.array(f.get('p10')),
"P90": np.array(f.get('p90')),
"St": bytes(f.get('stime')[:]).decode('utf-8'),
"Et": bytes(f.get('etime')[:]).decode('utf-8')
}
I'm sure there is also a way of reading string
type, but this might be the simplest solution.
Solution 2:
In Octave
>> x = 1:10;
>> y = reshape(1:12, 3,4);
>> et = '0101121200000';
>> xt = 'a string';
>> save -hdf5 testh5.mat x y et xt
In a numpy session:
In [130]: f = h5py.File('testh5.mat','r')
In [131]: list(f.keys())
Out[131]: ['et', 'x', 'xt', 'y']
In [132]: list(f['y'].keys())
Out[132]: ['type', 'value']
In [133]: f['x/type'].value
Out[133]: b'range'
In [134]: f['y/type'].value
Out[134]: b'matrix'
In [135]: f['y/value'].value
Out[135]:
array([[ 1., 2., 3.],
[ 4., 5., 6.],
[ 7., 8., 9.],
[10., 11., 12.]])
In [136]: f['et/type'].value
Out[136]: b'sq_string'
In [137]: f['et/value'].value
Out[137]:
array([[48],
[49],
[48],
[49],
[49],
[50],
[49],
[50],
[48],
[48],
[48],
[48],
[48]], dtype=int8)
In [138]: f['et/value'].value.ravel().view('S13')
Out[138]: array([b'0101121200000'], dtype='|S13')
In [139]: f['xt/value'].value.ravel().view('S8')
Out[139]: array([b'a string'], dtype='|S8')
In [140]: f.close()
how to import .mat-v7.3 file using h5py
Opening a mat file using h5py and convert data into a numpy matrix
====
bytes
also works in my file
In [220]: bytes(f['xt/value'].value)
Out[220]: b'a string'
In [221]: bytes(f['et/value'].value)
Out[221]: b'0101121200000'
Solution 3:
When I need to load .mat
I use scipy
and it works fine:
import scipy.io
mat = scipy.io.loadmat('fileName.mat')
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