scipy - Numpy: convert index in one dimension into many dimensions -

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many array methods return single index despite fact array multidimensional. example:

a = rand(2,3) z = a.argmax()

for 2 dimensions, easy find matrix indices of maximum element:

a[z/3, z%3]

but more dimensions, can become annoying. numpy/scipy have simple way of returning indices in multiple dimensions given index in 1 (collapsed) dimension? thanks.

got it!

a = x.argmax() (i,j) = unravel_index(a, x.shape)

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