Suppose I make a 2d array like this:
>>> A=np.arange(16).reshape((4,4))
>>> A
array([[ 0, 1, 2, 3],
[ 4, 5, 6, 7],
[ 8, 9, 10, 11],
[12, 13, 14, 15]])
and I want to be able to select a 3x3 window around any given element so that the window wraps around the boundaries how would I do that? I know I can do this if the boundaries of the window don't overlap the boundaries of the original array:
>>> A[1:4,0:3]
array([[ 4, 5, 6],
[ 8, 9, 10],
[12, 13, 14]])
but if I use an expression like A[i-1:i+2,j-1:j+2]
it only returns an empty array for i=0, j=0 for example.
Access Array Elements You can access an array element by referring to its index number. The indexes in NumPy arrays start with 0, meaning that the first element has index 0, and the second has index 1 etc.
We can use [][] operator to select an element from Numpy Array i.e. Example 1: Select the element at row index 1 and column index 2. Or we can pass the comma separated list of indices representing row index & column index too i.e.
To slice elements from two-dimensional arrays, you need to specify both a row index and a column index as [row_index, column_index] . For example, you can use the index [1,2] to query the element at the second row, third column in precip_2002_2013 .
import numpy as np
A=np.arange(16).reshape((4,4))
def neighbors(arr,x,y,n=3):
''' Given a 2D-array, returns an nxn array whose "center" element is arr[x,y]'''
arr=np.roll(np.roll(arr,shift=-x+1,axis=0),shift=-y+1,axis=1)
return arr[:n,:n]
print(A)
# [[ 0 1 2 3]
# [ 4 5 6 7]
# [ 8 9 10 11]
# [12 13 14 15]]
print(neighbors(A,0,0))
# [[15 12 13]
# [ 3 0 1]
# [ 7 4 5]]
print(neighbors(A,1,0))
# [[ 3 0 1]
# [ 7 4 5]
# [11 8 9]]
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