Find the nearest value from a given value in an array?

Find the nearest value from a given value in an array?

Find the nearest value from a given value in an array?

Find the nearest value from a given value in an array


Recipe Objective

While handling arrays, we might need to find the value that matches closest to any element in our given array.

So this recipe is a short example on how to find the nearest value from a given value in an array. Let's get started.

Step 1 - Import the library

import numpy as np

Let's pause and look at these imports. Numpy is generally helpful in data manipulation while working with arrays. It also helps in performing mathematical operation.

Step 2 - Defining find_nearest function

def find_nearest(array, value): idx = (np.abs(array - value)).argmin() return array[idx]

We have a defined find_nearest function. It first subtracts the given value from all the elements of array. Then, finds the argument of closest value by taking the absolute value of all elements.

Step 3 - Defining a random array and find the nearest value in our array

array = np.random.random(10) print(array) value = 0.5 print(find_nearest(array, value))

Here we define a random array and thereby find the closest value to 0.5

Step 4 - Lets look at our dataset now

Once we run the above code snippet, we will see:

[0.91099284 0.4100222  0.26885347 0.0256024  0.10999511 0.11454188
 0.79332232 0.71090965 0.3848031  0.82222392]

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