Using scipy.io.loadmat to read Matlab containers.Map object?
Hi, is it possible to use scipy.io.loadmat to read a Matlab containers.Map object?
cm = containers.Map(); cm('abc') = 42; save('/tmp/test.mat', 'cm');
In [15]: M = scipy.io.loadmat('/tmp/test.mat') In [16]: M.keys() Out[16]: ['__function_workspace__', 'None', '__version__', '__header__', '__globals__'] In [17]: M["None"] Out[17]: MatlabOpaque([ ('cm', 'MCOS', 'containers.Map', [[3707764736L], [2L], [1L], [1L], [1L], [1L]])], dtype=[('s0', '|O8'), ('s1', '|O8'), ('s2', '|O8'), ('arr', '|O8')]) In [15]: M = scipy.io.loadmat('/tmp/test.mat') In [16]: M.keys() Out[16]: ['__function_workspace__', 'None', '__version__', '__header__', '__globals__'] In [17]: M["None"] Out[17]: MatlabOpaque([ ('cm', 'MCOS', 'containers.Map', [[3707764736L], [2L], [1L], [1L], [1L], [1L]])], dtype=[('s0', '|O8'), ('s1', '|O8'), ('s2', '|O8'), ('arr', '|O8')]) regards, Gerrit. -- Gerrit Holl PhD student at Division of Space Technology, Luleå University of Technology, Kiruna, Sweden http://www.sat.ltu.se/members/gerrit/
Hi, On Mon, May 14, 2012 at 7:51 AM, Gerrit Holl <gerrit.holl@ltu.se> wrote:
Hi,
is it possible to use scipy.io.loadmat to read a Matlab containers.Map object?
cm = containers.Map(); cm('abc') = 42; save('/tmp/test.mat', 'cm');
In [15]: M = scipy.io.loadmat('/tmp/test.mat')
In [16]: M.keys() Out[16]: ['__function_workspace__', 'None', '__version__', '__header__', '__globals__']
In [17]: M["None"] Out[17]: MatlabOpaque([ ('cm', 'MCOS', 'containers.Map', [[3707764736L], [2L], [1L], [1L], [1L], [1L]])], dtype=[('s0', '|O8'), ('s1', '|O8'), ('s2', '|O8'), ('arr', '|O8')])
Just because I didn't know what a container.Map was, it looks like it's a MATLAB dict equivalent: http://www.mathworks.com/help/techdoc/matlab_prog/brqqo69.html I see that I or someone thought that types labeled as MatlabOpaque were MATLAB functions: https://github.com/scipy/scipy/blob/master/scipy/io/matlab/mio5_params.py#L5... but at least, the internal structure looks rather confusing. Do you recognize any of the structure in what got loaded? Does it load OK when loaded in Octave? Best, Matthew
On 14 May 2012 20:36, Matthew Brett <matthew.brett@gmail.com> wrote:
Hi,
On Mon, May 14, 2012 at 7:51 AM, Gerrit Holl <gerrit.holl@ltu.se> wrote:
Hi,
is it possible to use scipy.io.loadmat to read a Matlab containers.Map object?
cm = containers.Map(); cm('abc') = 42; save('/tmp/test.mat', 'cm');
In [15]: M = scipy.io.loadmat('/tmp/test.mat')
In [16]: M.keys() Out[16]: ['__function_workspace__', 'None', '__version__', '__header__', '__globals__']
In [17]: M["None"] Out[17]: MatlabOpaque([ ('cm', 'MCOS', 'containers.Map', [[3707764736L], [2L], [1L], [1L], [1L], [1L]])], dtype=[('s0', '|O8'), ('s1', '|O8'), ('s2', '|O8'), ('arr', '|O8')])
Just because I didn't know what a container.Map was, it looks like it's a MATLAB dict equivalent:
http://www.mathworks.com/help/techdoc/matlab_prog/brqqo69.html
I see that I or someone thought that types labeled as MatlabOpaque were MATLAB functions:
https://github.com/scipy/scipy/blob/master/scipy/io/matlab/mio5_params.py#L5...
but at least, the internal structure looks rather confusing. Do you recognize any of the structure in what got loaded? Does it load OK when loaded in Octave?
I don't recognise anything, and nor does Octave. containers.Map are a relatively new type in Matlab, not very well known and quite underused. They're indeed very close to being a Python dict, except that all keys must be of the same type and can only be numeric or character arrays. But that means that Matlab->Python is a well-defined translation. It appears the answer to my question is "no". Is this something to file an 'issue' for, I suppose it would be desirable to be able to read those? Gerrit. -- Gerrit Holl PhD student at Division of Space Technology, Luleå University of Technology, Kiruna, Sweden http://www.sat.ltu.se/members/gerrit/
Hi, On Tue, May 15, 2012 at 1:17 AM, Gerrit Holl <gerrit.holl@ltu.se> wrote:
On 14 May 2012 20:36, Matthew Brett <matthew.brett@gmail.com> wrote:
Hi,
On Mon, May 14, 2012 at 7:51 AM, Gerrit Holl <gerrit.holl@ltu.se> wrote:
Hi,
is it possible to use scipy.io.loadmat to read a Matlab containers.Map object?
cm = containers.Map(); cm('abc') = 42; save('/tmp/test.mat', 'cm');
In [15]: M = scipy.io.loadmat('/tmp/test.mat')
In [16]: M.keys() Out[16]: ['__function_workspace__', 'None', '__version__', '__header__', '__globals__']
In [17]: M["None"] Out[17]: MatlabOpaque([ ('cm', 'MCOS', 'containers.Map', [[3707764736L], [2L], [1L], [1L], [1L], [1L]])], dtype=[('s0', '|O8'), ('s1', '|O8'), ('s2', '|O8'), ('arr', '|O8')])
Just because I didn't know what a container.Map was, it looks like it's a MATLAB dict equivalent:
http://www.mathworks.com/help/techdoc/matlab_prog/brqqo69.html
I see that I or someone thought that types labeled as MatlabOpaque were MATLAB functions:
https://github.com/scipy/scipy/blob/master/scipy/io/matlab/mio5_params.py#L5...
but at least, the internal structure looks rather confusing. Do you recognize any of the structure in what got loaded? Does it load OK when loaded in Octave?
I don't recognise anything, and nor does Octave.
containers.Map are a relatively new type in Matlab, not very well known and quite underused. They're indeed very close to being a Python dict, except that all keys must be of the same type and can only be numeric or character arrays. But that means that Matlab->Python is a well-defined translation.
It appears the answer to my question is "no". Is this something to file an 'issue' for, I suppose it would be desirable to be able to read those?
Yes, er, the answer is 'no', sorry about that. But, please do file an issue for it. It would be good to be able to read them, but I guess it will be hard work getting there. Do you know of any documentation for the binary (.mat file) format of these things? You might get an idea of where we are by scanning the comments at the top of https://github.com/scipy/scipy/blob/master/scipy/io/matlab/mio5.py Cheers, Matthew
participants (2)
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Gerrit Holl -
Matthew Brett