Remove NaN from the cell array without changing the row and column of matrix
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Hi all,
I have a question related to how to remove NaN in cell array without changing any rows and column of matrix.
for example,
A = [ NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN,
NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN,
NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN,
NaN NaN 23 24 25 27 NaN NaN NaN NaN,
NaN 22 30 35 23 23 23 23 NaN NaN,
24 23 33 23 23 19 20 20 20 21,
NaN NaN 23 21 28 22 NaN NaN NaN NaN,
NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN,
NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN]
I would like to get rid of NaN but keeping the same character of matrix, such as
A = [ _ _ _ _ _ _ _ _ _ _ ,
_ _ _ _ _ _ _ _ _ _,
_ _ _ _ 25 _ _ _ _ _,
_ _ 23 24 25 27 _ _ _ _,
_ 22 30 35 23 23 23 23 _ _,
24 23 33 23 23 19 20 20 20 21,
_ _ 23 21 28 22 _ _ _ _,
_ _ _ _ 25 _ _ _ _,
_ _ _ _ _ _ _ _ _ _ ]
* _ means no any valu, even 0
How could I do that, Thanks very much in advance.
4 Comments
George
on 21 Sep 2016
In this example A is a matrix. Are you using a cell array or a matrix?
James Tursa
on 21 Sep 2016
If A is a matrix (double or single class), you can't do that. Those "_" spots need to have a value ... they can't have "no value".
Pichawut Manopkawee
on 21 Sep 2016
James Tursa
on 21 Sep 2016
What does this return:
class(A)
Answers (1)
Michelle Wu
on 26 Sep 2016
It is my understanding that you are trying to remove the NaNs from a cell array since they would somehow affect the calculations you are trying to perform. However, the code snippet you provided in your initial description contradicts with your comments of A being a matrix containing cell arrays. I will assume A to be a 9-by-10 cell array according to your example, and hopefully my answer still applies to whatever kind of cell array you are actually using.
Create the 9-by-10 cell array A from an array arr:
>> arr = [NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN;
NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN;
NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN;
NaN NaN 23 24 25 27 NaN NaN NaN NaN;
NaN 22 30 35 23 23 23 23 NaN NaN;
24 23 33 23 23 19 20 20 20 21;
NaN NaN 23 21 28 22 NaN NaN NaN NaN;
NaN NaN NaN NaN 25 NaN NaN NaN NaN NaN;
NaN NaN NaN NaN NaN NaN NaN NaN NaN NaN];
>> A = num2cell(arr);
The cell array A would look like:
A =
[NaN] [NaN] [NaN] [NaN] [NaN] [NaN] [NaN] [NaN] [NaN] [NaN]
[NaN] [NaN] [NaN] [NaN] [NaN] [NaN] [NaN] [NaN] [NaN] [NaN]
[NaN] [NaN] [NaN] [NaN] [ 25] [NaN] [NaN] [NaN] [NaN] [NaN]
[NaN] [NaN] [ 23] [ 24] [ 25] [ 27] [NaN] [NaN] [NaN] [NaN]
[NaN] [ 22] [ 30] [ 35] [ 23] [ 23] [ 23] [ 23] [NaN] [NaN]
[ 24] [ 23] [ 33] [ 23] [ 23] [ 19] [ 20] [ 20] [ 20] [ 21]
[NaN] [NaN] [ 23] [ 21] [ 28] [ 22] [NaN] [NaN] [NaN] [NaN]
[NaN] [NaN] [NaN] [NaN] [ 25] [NaN] [NaN] [NaN] [NaN] [NaN]
[NaN] [NaN] [NaN] [NaN] [NaN] [NaN] [NaN] [NaN] [NaN] [NaN]
Find the NaNs in A, and replace them with []:
>> A(cellfun(@isnan,A)) = {[]};
Now A becomes:
A =
[] [] [] [] [] [] [] [] [] []
[] [] [] [] [] [] [] [] [] []
[] [] [] [] [25] [] [] [] [] []
[] [] [23] [24] [25] [27] [] [] [] []
[] [22] [30] [35] [23] [23] [23] [23] [] []
[24] [23] [33] [23] [23] [19] [20] [20] [20] [21]
[] [] [23] [21] [28] [22] [] [] [] []
[] [] [] [] [25] [] [] [] [] []
[] [] [] [] [] [] [] [] [] []
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