如何遍历嵌套的numpy数组以获取按列显示的值

import numpy as np

arr = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])

# 创建迭代器
it = np.nditer(arr, flags=['multi_index'], order='F')

# 遍历数组的每一列
for column in it:
    print(column)

1
4
7
2
5
8
3
6
9

arr = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])

# 获取数组的形状
rows, cols = arr.shape

# 遍历每一列的索引
for col in range(cols):
    # 遍历每一行的索引
    for row in range(rows):
        # 获取按列显示的值
        value = arr[row, col]
        print(value)

1
4
7
2
5
8
3
6
9