计算 2D 数元阵列中跨维度的平均值
我们可以通过函数 np.mean() 使用 numpy 求出 2d 数组的每一行和每一列的平均值。这里我们必须提供寻找平均值的轴。
语法: numpy.mean(arr，axis = None)
行平均值:轴=1
列平均值:轴=0
示例:
Python 3
# Importing Library
import numpy as np
# creating 2d array
arr = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])
# Calculating mean across Rows
row_mean = np.mean(arr, axis=1)
row1_mean = row_mean[0]
print("Mean of Row 1 is", row1_mean)
row2_mean = row_mean[1]
print("Mean of Row 2 is", row2_mean)
row3_mean = row_mean[2]
print("Mean of Row 3 is", row3_mean)
# Calculating mean across Columns
column_mean = np.mean(arr, axis=0)
column1_mean = column_mean[0]
print("Mean of column 1 is", column1_mean)
column2_mean = column_mean[1]
print("Mean of column 2 is", column2_mean)
column3_mean = column_mean[2]
print("Mean of column 3 is", column3_mean)
输出:
Mean of Row 1 is 2.0
Mean of Row 2 is 5.0
Mean of Row 3 is 8.0
Mean of column 1 is 4.0
Mean of column 2 is 5.0
Mean of column 3 is 6.0
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