Separating an array based on row data?

I have an array consisting of 3 columns and 'x' number of rows. Let's call it "Original_Data".

"Original_Data" contains rows where there are values of '0' and I wish to split my array into two new arrays:

• "Bad_data" will be an array consisting of the original 3 columns from "Original_Data" and all rows from "Original_Data" which contain values of '0'
• "Good_data" will be an array consisting of the original 3 columns from "Original_Data" and all rows from "Original_Data" which do not contain values of '0'

How would I do this?

Answer 1

[Jan]

Data = randi([0,3], 4, 3)   % Some Test data

Data = 4×3

1 0 1 0 2 3 0 0 2 2 1 1

good = all(Data, 2);        % No zeros in a row

goodData = Data(good, :)

goodData = 1×3

2 1 1

badData  = Data(~good, :)

badData = 3×3

1 0 1 0 2 3 0 0 2