I have a 50x25 cell array in the variable raw_data
. Each cell contains a 200x150 matrix. I have a few NaN
values scattered between all those values and I want to set them to zeros
to make sure they do not interfere at later stages.
I have tried the following:
raw_data(cellfun(@(x) any(isnan(x), raw_data, 'UniformOutput', false)) = 0
When running the script, I get "Function 'subindex' is not defined for values of class 'cell'". Can anyone help me, please?
Thanks in advance!
How about this:
cellfun(@(x) nansum(x,ndims(x)+1), raw_data, 'UniformOutput', false)
Note if you're certain you'll only have 2D matrices in raw_data
you can replace the ndims(x)+1
with 3
.
The idea is to use nansum
to sum along the 3rd dimension as this will preserve the shape of the first 2 dimensions and luckily nansum
seems to convert NaN
to 0
when all the elements being summed are NaN