python np.ceil()和np.repeat()的用法

import numpy as np

a = np.zeros((2,10))
a[np.arange(2),4] = 1
print("逐個指派後的值:",a)

b = np.array([0.34,1.3,0.75,-0.23,-1.1])
b = np.ceil(b)
print("向上取整的值:",b)
           

變化後的值: [[0. 0. 0. 0. 1. 0. 0. 0. 0. 0.]
 [0. 0. 0. 0. 1. 0. 0. 0. 0. 0.]]
向上取整的值: [ 1.  2.  1. -0. -1.]
           

print('np.repeat()的用法')
t = np.array([[1,2,4],[-0.23,0.45,-1.2],[3.2,0.44,-0.65]])
t0 = np.repeat(t,3,axis=0)
t0_reshape = t0.reshape(t.shape[0],-1)
t1 = np.repeat(t,2,axis=1)
t1_reshape = t1.reshape(-1,t.shape[1])


print('輸入值:',t,t.shape)
print("按第1次元複制矩陣結果:",t0,t0.shape)
print("按第1次元複制并reshape矩陣結果:",t0_reshape,t0_reshape.shape)
print("按第2次元複制矩陣結果:",t1,t1.shape)
print("按第2次元複制并reshape矩陣結果:",t1_reshape,t1_reshape.shape)

           

np.repeat()的用法
輸入值: [[ 1.    2.    4.  ]
 [-0.23  0.45 -1.2 ]
 [ 3.2   0.44 -0.65]] (3, 3)
按第1次元複制矩陣結果: [[ 1.    2.    4.  ]
 [ 1.    2.    4.  ]
 [ 1.    2.    4.  ]
 [-0.23  0.45 -1.2 ]
 [-0.23  0.45 -1.2 ]
 [-0.23  0.45 -1.2 ]
 [ 3.2   0.44 -0.65]
 [ 3.2   0.44 -0.65]
 [ 3.2   0.44 -0.65]] (9, 3)
按第1次元複制并reshape矩陣結果: [[ 1.    2.    4.    1.    2.    4.    1.    2.    4.  ]
 [-0.23  0.45 -1.2  -0.23  0.45 -1.2  -0.23  0.45 -1.2 ]
 [ 3.2   0.44 -0.65  3.2   0.44 -0.65  3.2   0.44 -0.65]] (3, 9)
按第2次元複制矩陣結果: [[ 1.    1.    2.    2.    4.    4.  ]
 [-0.23 -0.23  0.45  0.45 -1.2  -1.2 ]
 [ 3.2   3.2   0.44  0.44 -0.65 -0.65]] (3, 6)
按第2次元複制并reshape矩陣結果: [[ 1.    1.    2.  ]
 [ 2.    4.    4.  ]
 [-0.23 -0.23  0.45]
 [ 0.45 -1.2  -1.2 ]
 [ 3.2   3.2   0.44]
 [ 0.44 -0.65 -0.65]] (6, 3)