Question

Select rows with data closest to a certain value using argsort.

Answer 1

You can use the numpy.argsort() function in Python to select rows with data closest to a certain value.

Step-by-step explanation:

To select rows with data closest to a certain value using argsort, you can use the numpy.argsort() function in Python. This function returns an array of indices that would sort an input array in ascending order. By using np.abs(array - target_value) as the key argument to argsort(), you can calculate the absolute difference between each element in the array and the target value, and sort the array based on those differences.

Here's an example:

import numpy as np

array = np.array([5, 2, 8, 1, 3])
target_value = 4

sorted_indices = np.argsort(np.abs(array - target_value))

print(sorted_indices)

This will output the indices of the sorted array based on their distances from the target value.