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How to find the closest value to a given scalar in a vector?
How to find the closest value to a given scalar in a vector?
This recipe helps you find the closest value to a given scalar in a vector
Recipe Objective
Suppose we have a scaler values of array. Now any irrational number comes and we have to find the nearest value corresponding to the given value.
So this recipe is a short example on how to find the closest value (to a given scalar) in a vector. 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 - Generating a random array
x = np.arange(100)
We have generated an array having 100 values from 0 to 99.
Step 3 - Generating a random values
a = np.random.uniform(0,100)
print(a)
We have a genrated a random value between 0 to 100.
Step 4 - Printing the nearest value
index = (np.abs(x-a)).argmin()
print(x[index])
Now using abs and argumin function, we have found the index corresponding to nearest integer. Finally, we have printed the value from the array corresponding to our found index.
Step 5 - Let's look at our dataset now
Once we run the above code snippet, we will see:
66.84178287734619 67
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