In previous chapters, we looked at one-dimensional and two-dimensional arrays and used them in a variety of tasks, including data analysis, prognostic modeling, and the management of the output from multiple model runs. Arrays are, however, not limited to one or two dimensions. If we have a three-dimensional physical space – made up of length, width, and height – the measurements of some quantity every meter in length, width, and height in that space (at the same instant in time) would be nicely stored as elements in a three-dimensional array. If all such measurements are taken at regular intervals in time – say every hour – those values could be stored as elements in a four-dimensional array.
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