关于Python上的均值和二维数组的问题

import numpy as np

# 创建一个二维数组
arr = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])

# 计算每一行的均值
row_means = np.mean(arr, axis=1)
print("行均值:", row_means)

import numpy as np

# 创建一个二维数组
arr = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])

# 计算每一列的均值
col_means = np.mean(arr, axis=0)
print("列均值:", col_means)

import numpy as np

# 创建一个二维数组
arr = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])

# 计算整个数组的均值
overall_mean = np.mean(arr)
print("整体均值:", overall_mean)

import numpy as np

# 创建一个包含NaN值的二维数组
arr = np.array([[1, 2, np.nan], [4, 5, 6], [7, 8, 9]])

# 计算每一行的均值，忽略NaN值
row_means = np.nanmean(arr, axis=1)
print("行均值（忽略NaN）:", row_means)

import numpy as np

# 创建两个二维数组
arr1 = np.array([[1, 2, 3], [4, 5, 6]])
arr2 = np.array([[7, 8, 9], [10, 11, 12], [13, 14, 15]])

# 确保数组维度匹配
if arr1.shape[1] == arr2.shape[1]:
    col_means = np.mean([arr1, arr2], axis=0)
    print("列均值:", col_means)
else:
    print("数组维度不匹配，无法计算均值")