Storing 2D grid data in a Numpy array

[BrainAnnex]

The imminent version 1.0RC2 clarifies the storage implementation, and corrects the visualization, for 2D grid data, regarded as bins in the XY Cartesian plane, and stored in a Numpy array.

By way of background, in typical Cartesian coordinates, x increases from left to right, and y increases from bottom to top.
By contrast, Numpy arrays use row-major ordering: array[row, column]. Row indices increase from top to bottom, while column indices increase from left to right.

The following diagram details the approach currently being followed by Life123. This internal storage, where x bin coordinates map to rows and y bin coordinates map to columns, was chosen in part for ease of generalization to 3D.

Display and visualization methods take care of the transformation from the internal array representation to a 2D grid view in the Cartesian plane.