Comments (3)
That does look like a bug, cell arrays give the most headaches since scipy's loadmat converts them to numpy object types and I attempt to convert them to nested lists instead. I'll take a deeper look.
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From the latest source:
from oct2py import octave
oc = octave
oc.run('x = {[0.4194 0.3629 -0.0000; 0.0376 0.3306 0.0000; 0 0 1.0000], '
' [0.5645 -0.2903 0; 0.0699 0.1855 0.0000;0.8500 0.8250 1.0000]};')
x = oc.get('x')
x
[array([[ 0.4194, 0.3629, -0. ],
[ 0.0376, 0.3306, 0. ],
[ 0. , 0. , 1. ]]), array([[ 0.5645, -0.2903, 0. ],
[ 0.0699, 0.1855, 0. ],
[ 0.85 , 0.825 , 1. ]])]
Thanks again for the feedback
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Thank you for your work, and making this issue gone fast
Cheers
from oct2py.
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