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According to docs numpy’s default behaviour is to index arrays first by rows then by columns:
a = numpy.arange(6).reshape(3,2)
[[0 1]
[2 3]
[4 5]]
print a[0][1] # is 1
I want to index the array using the geometrically oriented-convention a[x][y], as in x-axis and y-axis. How can I change the indexing order without modifying the array’s shape so that a[0][1] would return 2?
You can write
a.T[0,1]to use indices of the transpose of the array, which are the other way around in 2D.