In [1]:

    

import numpy as np


    

In [2]:

    

a1 = np.ones((2, 3), int)
print(a1)


    

    




[[1 1 1]
 [1 1 1]]

In [3]:

    

a2 = np.full((2, 3), 2)
print(a2)


    

    




[[2 2 2]
 [2 2 2]]

In [4]:

    

print(np.hstack([a1, a2]))


    

    




[[1 1 1 2 2 2]
 [1 1 1 2 2 2]]

In [5]:

    

print(np.concatenate([a1, a2], 1))


    

    




[[1 1 1 2 2 2]
 [1 1 1 2 2 2]]

In [6]:

    

a1 = np.ones(3, int)
print(a1)


    

    




[1 1 1]

In [7]:

    

a2 = np.full(3, 2)
print(a2)


    

    




[2 2 2]

In [8]:

    

print(np.hstack([a1, a2]))


    

    




[1 1 1 2 2 2]

In [9]:

    

print(np.concatenate([a1, a2], 0))


    

    




[1 1 1 2 2 2]

In [10]:

    

a1 = np.ones((2, 3), int)
print(a1)


    

    




[[1 1 1]
 [1 1 1]]

In [11]:

    

a2 = np.full(2, 2)
print(a2)


    

    




[2 2]

In [12]:

    

# print(np.hstack([a1, a2]))
# ValueError: all the input arrays must have same number of dimensions