Removing/clearing NaN/0 values from matrix/array data

Hi,

So I have two - 8640x1 arrays of data

• one represents wind speed every 5 minutes over a month
• the other represents rain intensity every 5 minutes over the same month

I have a function that loops these values into a series of calculations. However, the code is not wokring for some of it. I believe this is down to one of the functions I am using can not have a 0 input.

Therefore I need to clear my data of 0 values.

I know how to do this for an indivdual array such as

B = A(A~=0)

However, imagine my data set was

A =

A = [0;9;6;4;3];
B = [1;3;4;0;0];

I need it so that when there is a 0 value in B, the corresponding row in A must also be removed even if there is a value for this.

So that my final value arrays looks like such :

A = [9;6];
B = [3;4];

Hope that makes sense.

Thanks:)

Answer 1

[Sargondjani]

A1 = A(A~=0 & B~=0) should work

Answer 2

[Mehmed Saad]

A = [0;9;6;4;3];iA = A~=0;
B = [1;3;4;0;0];iB = B~=0;
ind = iA&iB;

A = A(ind)
B = B(ind)

A =

9

6

B =

3

4