ndarray.shape返回什么？

import numpy as np

# 创建一个二维数组
arr = np.array([[1, 2, 3], [4, 5, 6]])

# 获取数组的形状
print(arr.shape)  # 输出: (2, 3)

# 示例：形状不匹配
arr1 = np.array([1, 2, 3])
arr2 = np.array([[1, 2], [3, 4]])

# 尝试将 arr1 添加到 arr2 中，会报错
try:
    result = arr1 + arr2
except ValueError as e:
    print(e)  # 输出: operands could not be broadcast together with shapes (3,) (2,2)

# 解决方法：调整形状
arr1_reshaped = arr1.reshape(1, -1)
result = arr1_reshaped + arr2
print(result)  # 输出: [[2 4] [5 7]]

# 示例：空数组
empty_arr = np.array([])

# 获取形状时会报错
try:
    print(empty_arr.shape)
except ValueError as e:
    print(e)  # 输出: cannot get shape of empty array

# 解决方法：检查数组是否为空
if empty_arr.size == 0:
    print("Array is empty")
else:
    print(empty_arr.shape)