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Finding the closest value in a NumPy array

schedule Aug 10, 2023
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To find the closest value in the Numpy array to a certain value, we use the following function:

def find_closest(arr, val):
idx = np.abs(arr - val).argmin()
return arr[idx]

We use this like follows:

arr = np.array([1,4,10])
find_closest(arr, 6)
4

Explanation

The basic idea is that, the smaller the difference between the number in the array and your value, the closer they are:

np.array([1,4,10]) - 6
array([-5, -2, 4])

Since we do not care whether the number in the array is larger or smaller than our value, we take the absolute value:

np.abs(np.array([1,4,10]) - 6)
array([5, 2, 4])

Next, we want to extract the index of the smallest number in this array since it represents the number that is closest to our value:

idx = np.abs(arr - val).argmin()
idx
1

Finally, we obtain the actual value that corresponds to this index:

return arr[idx]
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Published by Isshin Inada
Edited by 0 others
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