Delete zeros form multiple columns in a matrix

How do I reduce a matrix with multiple initial zeros

A=[0 0 0 0 0 ; 0 0 0 0 1 ; 0 0 1 0 1 ; 0 1 1 0 1 ; 0 1 1 1 1; 1 1 1 1 1; 1 1 1 1 1  ]

to

A = [1 1 1 1 1
     1 1 1 1 1
       1 1 1 1
       1 1   1
         1   1
             1]

Basically delete all zero from all the column

Answer 1

[the cyclist]

A numeric data type cannot have empty elements.

You have a couple options. You could use a cell array, which can have empty elements. Or perhaps you could replace the zeros with NaN.

What are you planning on doing as a next step with the result?

[pavan kurdekar]

The thing is the non zero values are voltage data of 5 batteries and I need to plot many such data. I want to delete the initial zeros so that the graph is correct and the zeros are a problem to my further calculation too.

[DGM]

If you don't want zeros to plot, just replace them with NaN. NaN values don't plot.

For actual handling of electrical signal data, I can't imagine a scenario where zeros are categorically meaningless. If you're running into problems in further calculations, I doubt that stripping all zeros is the appropriate solution.

Answer 2

[Image Analyst]

I agree with the cyclist in that you probably don't really need to do this in your next step, whatever it is.

That said, you can use sparse() but I really, really doubt you want to, or need to, do that.

If you just want to print it out to the command line, you can use a loop with fprintf() and just print those that are 1 and print a space for the zeros.

But a matrix cannot have "holes" or "ragged edges". There has to be something there.

[pavan kurdekar]

Ok . Thanks both of you . I will then store it in different matrix then . I think that will solve the problem

[Image Analyst]

How are you going to do that? And how will that solve the "problem"? Again, I don't know why there is a "problem" in the first place and you can't just use your original A matrix.