Comments (3)
Thanks for reporting - that does seem like a bug to me. Would be
non-trivial to fix, but let me take a look.
On Mon, Dec 1, 2014 at 6:30 PM, leizing [email protected] wrote:
However, what I got in MATLAB is a cell array, which flatten the matrix.
Assume the original matrix is 5 by 4, I end up with a 20 by1 cell array.
Moreover, all NaNs are treated as strings 'NaN' in the cell. A bug or it is
designed to be like this?—
Reply to this email directly or view it on GitHub
#100.
from python-matlab-bridge.
In the following is a quick fix for myself. Say I pass float matrix S to matlab. I add the following lines before using the matrix:
%%matlab -i S
for i=1:length(S)
if isnumeric(S{i}), continue, end
S{i}(cellfun(@(x) ~isnumeric(x),S{i})) = {nan};
S{i} = cell2mat(S{i});
end
S = cell2mat(S);
from python-matlab-bridge.
This behaviour is fixed in the latest master:
In [25]: S = np.ones((5,4), dtype=np.float64)
In [26]: S[0] = np.nan
In [27]: %%matlab -i S -o T
T = S;
....:
In [28]: T
Out[28]:
array([[ nan, nan, nan, nan],
[ 1., 1., 1., 1.],
[ 1., 1., 1., 1.],
[ 1., 1., 1., 1.],
[ 1., 1., 1., 1.]])
from python-matlab-bridge.
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