Overview
Given that 3D Matrix 1 and Matrix 2 have the same number of items "P" randomly dispersed, how can it be shown that the liability of "P" in any given column <A, B, C, D> is less when using a Matrix B that has 9 additional rows? By liability, stating fewer "P" items are impacted/lost if a given column < A, B, C, D> is removed.
Context
Matrix 1 has six(6) rows and Matrix 2 has fifteen (15) rows. Matrix 1 and Matrix 2, both have four columns and each column has a z-axis with "n" items (for simplicity start with 3, but the final number 128)
| matrix | Row Count | Columns | z-axis |
|---|---|---|---|
| Matrix 1 | 6 | 4 | 3 |
| Matrix 2 | 15 | 4 | 3 |
Attempt with Python
My inaugural approach with python was to generate each matrix and inserting placeholders P / e(empty). However I realize that won't prove, though it may show/imply that same number of "P" in Matrix B is less liable.