NumPy笔记：统计指标((max,min,std,mean,argmax,sum))

import numpy as np
a = np.linspace(1, 16, 16).reshape(4, 4)
print("a:", a)
print("max:", np.max(a, axis=1))    # axis  0-列 1-行
print("min:", np.min(a, axis=0))    # axis  0-列 1-行
print("std:", np.std(a, axis=0))    # axis  0-列 1-行
print("mean:", np.mean(a, axis=0))    # axis  0-列 1-行
print("argmax:", np.argmax(a, axis=1))    # axis  0-列 1-行
print("sum:", np.sum(a, axis=1))    # axis  0-列 1-行
 

a: [[ 1.  2.  3.  4.]
 [ 5.  6.  7.  8.]
 [ 9. 10. 11. 12.]
 [13. 14. 15. 16.]]
max: [ 4.  8. 12. 16.]
min: [1. 2. 3. 4.]
std: [4.47213595 4.47213595 4.47213595 4.47213595]
mean: [ 7.  8.  9. 10.]
argmax: [3 3 3 3]
sum: [10. 26. 42. 58.]