I have a NumPy `ndarray` to which I would like to add row/column headers.

The data is actually 7x12x12, but I can represent it like this:

```
  A=[[[0, 1, 2, 3, 4, 5],
      [1, 0, 3, 4, 5, 6],
      [2, 3, 0, 5, 6, 7],
      [3, 4, 5, 0, 7, 8],
      [4, 5, 6, 7, 0, 9],
      [5, 6, 7, 8, 9, 0]]

     [[0, 1, 2, 3, 4, 5],
      [1, 0, 3, 4, 5, 6],
      [2, 3, 0, 5, 6, 7],
      [3, 4, 5, 0, 7, 8],
      [4, 5, 6, 7, 0, 9],
      [5, 6, 7, 8, 9, 0]]]

```

where A is my 2x6x6 array.

How do I insert headers across the first row and the first column, so that each array looks like this in my `CSV` output file?

```
        A, a, b, c, d, e, f 
        a, 0, 1, 2, 3, 4, 5,
        b, 1, 0, 3, 4, 5, 6,
        c, 2, 3, 0, 5, 6, 7,
        d, 3, 4, 5, 0, 7, 8,
        e, 4, 5, 6, 7, 0, 9,
        f, 5, 6, 7, 8, 9, 0

```

What I have done is made the array 7x13x13 and inserted the data such that I have a row and column of zeros, but I'd much prefer strings.

I guess I could just write an Excel macro to replace the zeros with strings. However, the problem is that NumPy cannot convert `string` to `float`, if I try to reassign those zeros as the strings I want.