AI engineering glossary · NumPy pandas visualization
What is array indexing?
Array indexing: Reading or changing specific elements of an array by giving their positions in square brackets. Positions start at 0, negative numbers count from the end, and a multi-dimensional array takes one index per axis, separated by commas.
Array indexing: an example
With a = np.array([[10, 20], [30, 40]]), a[1, 0] returns 30 and a[-1, -1] returns 40.
Related terms
More NumPy pandas visualization terms
Where you learn it
Array indexing is part of the AI Engineering Program, which teaches it with notes, a hands-on lab and an exam. The first lesson is free.