Access NumPy 2D array items

Question

NumPy's 2D array:

testing = np.array([
     [   0,    0,    2,    5,    0],
     [1478, 3877, 3674, 2328, 2539],
     [1613, 4088, 3991, 6461, 2691],
     [1560, 3392, 3826, 4787, 2613],
     [1608, 4802, 3932, 4477, 2705],
     [1576, 3933, 3909, 4979, 2685],
     [  95,  229,  255,  496,  201],
     [   2,    0,    1,   27,    0],
     [1438, 3785, 3589, 4174, 2215],
     [1342, 4043, 4009, 4665, 3033]
])

If I do the following:

print testing[1:3, 3:5]

I get the following:

[[2328 2539] [6461 2691]]

And I really can't understand how did I get an output like this.

Could anyone mind explaining me how does this work? And how is the output like that?

Read up on integer array indexing. Relevant post.

Divakar
– Divakar

2017-06-09 08:34:04 +00:00
Commented Jun 9, 2017 at 8:34 — Divakar
– Divakar, Commented Jun 9, 2017 at 8:34

Marvin Taschenberger · Accepted Answer · 2017-06-09 08:37:30Z

0

In your case with [1:3] you sliced the second and third row

( remember index starts at 0 and 1:3 = 1,2 ; 3 is not included )

    [1478, 3877, 3674, 2328, 2539],
    [1613, 4088, 3991, 6461, 2691]

And with [3:5] you sliced the fourth and fifth column of even that selection. which would be by the same reasoning as above:

    [2328, 2539],
    [6461, 2691]

answered Jun 9, 2017 at 8:37

Marvin Taschenberger

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