如何逆序获取numpy多维数组的索引？

import numpy as np

# 创建一个示例数组
arr = np.array([[5, 3, 8],
                [9, 1, 4]])

# 获取沿第一个轴（行）的逆序索引
row_indices = np.argsort(arr, axis=1)[:, ::-1]

# 获取沿第二个轴（列）的逆序索引
col_indices = np.argsort(arr, axis=0)[::-1, :]

print("Row indices in descending order:\n", row_indices)
print("Column indices in descending order:\n", col_indices)

import numpy as np

# 创建一个示例数组
arr = np.array([[5, 3, 8],
                [9, 1, 4]])

# 沿第一个轴（行）逆序
row_reversed = np.flip(arr, axis=1)
row_indices = np.argpartition(row_reversed, -1, axis=1)[:, -1:][..., ::-1]

# 沿第二个轴（列）逆序
col_reversed = np.flip(arr, axis=0)
col_indices = np.argpartition(col_reversed, -1, axis=0)[-1:, :][..., ::-1]

print("Row indices in descending order:\n", row_indices)
print("Column indices in descending order:\n", col_indices)