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I'm trying to sort the rows of one array by the values of another. For example:
import numpy as np arr1 = np.random.normal(1, 1, 80) arr2 = np.random.normal(1,1, (80,100)) I want to sort arr1 in descending order, and to have the current relationship between arr1 and arr2 to be maintained (ie, after sorting both, the rows of arr1[0] and arr2[0, :] are the same).
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NumPy arrays can be sorted by a single column, row, or by multiple columns or rows using the argsort() function. The argsort function returns a list of indices that will sort the values in an array in ascending value.
Summary. Use the Python List sort() method to sort a list in place. The sort() method sorts the string elements in alphabetical order and sorts the numeric elements from smallest to largest. Use the sort(reverse=True) to reverse the default sort order.
Use argsort as follows:
arr1inds = arr1.argsort() sorted_arr1 = arr1[arr1inds[::-1]] sorted_arr2 = arr2[arr1inds[::-1]] This example sorts in descending order.
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