pythonnumpy⼀维数组⽔平合并与垂直合并
------------------------------ ⽔平合并
数组A: [7 6 5 4 9] (5,)
数组B: [18 18 18 16 19] (5,)
数组result:
[[ 7 18]
[ 6 18]
[ 5 18]
[ 4 16]
[ 9 19]] (5, 2)
------------------------------ 纵向合并
数组A: [7 6 5 4 9] (5,)
数组B: [18 18 18 16 19] (5,)
数组result:
[[ 7  6  5  4  9]
[18 18 18 16 19]] (2, 5)
⼀维数组的合并
import numpy as np
# ⼀维数组合并
def array_stack_h(arr_a, arr_b):
arr_a = np.reshape(arr_a,(arr_a.shape[0],1))
arr_b = np.reshape(arr_b,(arr_b.shape[0],1))
arr_result = np.hstack((arr_a, arr_b))
print("数组result:\n", arr_result, arr_result.shape)
def array_stack_v(arr_a, arr_b):
arr_result = np.vstack((arr_a, arr_b))
print("数组result:\n", arr_result, arr_result.shape)
if __name__ =='__main__':
array_a = np.random.randint(0,10,(5,))
array_b = np.random.randint(10,20,(5,))
print("--"*15,"⽔平合并")
print("数组A:", array_a, array_a.shape)
print("数组B:", array_b, array_b.shape)
array_stack_h(array_a, array_b)
print("--"*15,"纵向合并")
print("数组A:", array_a, array_a.shape)
python数组合并print("数组B:", array_b, array_b.shape)
array_stack_v(array_a, array_b)