使用np.nan()计算每行和每列的平均值

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, np.nan, 6], [np.nan, 8, 9]])

# 计算每行的平均值
row_means = np.nanmean(arr, axis=1)

print("每行的平均值：", row_means)

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, np.nan, 6], [np.nan, 8, 9]])

# 计算每列的平均值
column_means = np.nanmean(arr, axis=0)

print("每列的平均值：", column_means)