Python数据分析三大框架之numpy （五）合并

numpy数组的合并

 

• 按行合并

import numpy as np

A = np.array([1, 1, 1])
B = np.array([2, 2, 2])

print(np.vstack((A, B)))

# 按行合并
C = np.vstack((A, B))
print(A.shape, B.shape, C.shape)


#result
[[1 1 1]
 [2 2 2]]
(3,) (3,) (2, 3)

 

• 首尾合并

# 首尾合并
D = np.hstack((A, B))
print(A.shape, B.shape, D.shape)

print(A[np.newaxis, :])

print(np.concatenate((A, B, B, A)))


#result
(3,) (3,) (6,)
[[1 1 1]]
[1 1 1 2 2 2 2 2 2 1 1 1]

 

来源：CSDN

作者：ZhengJohn

链接：https://blog.csdn.net/qq_38336343/article/details/104600740