How to create a unique raster using numpy

This diddy was purely developed to explore the numpy module
Numpy unique raster

>>> import numpy as np
>>> unique = np.arange(100)
>>> unique = unique.reshape(10,10)
>>> unique
array([[ 0,  1,  2,  3,  4,  5,  6,  7,  8,  9],
       [10, 11, 12, 13, 14, 15, 16, 17, 18, 19],
       [20, 21, 22, 23, 24, 25, 26, 27, 28, 29],
       [30, 31, 32, 33, 34, 35, 36, 37, 38, 39],
       [40, 41, 42, 43, 44, 45, 46, 47, 48, 49],
       [50, 51, 52, 53, 54, 55, 56, 57, 58, 59],
       [60, 61, 62, 63, 64, 65, 66, 67, 68, 69],
       [70, 71, 72, 73, 74, 75, 76, 77, 78, 79],
       [80, 81, 82, 83, 84, 85, 86, 87, 88, 89],
       [90, 91, 92, 93, 94, 95, 96, 97, 98, 99]])
>>> import arcpy
>>> out_raster = arcpy.NumPyArrayToRaster(unique)
>>> out_raster.save("c:/temp/testRaster")
>>>

then have a look at it in ArcMap.  the nparange allows you to create 100 unique values, then reshape them in a 10 x 10 array.  The resultant is saved to an ESRI grid then saved.  Note however, I haven't provided any means to provide spatial referencing or the like.