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.concatenate([a1, a2]))


    

    




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

In [5]:

    

a3 = np.full((2, 3), 3)
print(a3)


    

    




[[3 3 3]
 [3 3 3]]

In [6]:

    

print(np.concatenate([a1, a2, a3]))


    

    




[[1 1 1]
 [1 1 1]
 [2 2 2]
 [2 2 2]
 [3 3 3]
 [3 3 3]]

In [7]:

    

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


    

    




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

In [8]:

    

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


    

    




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

In [9]:

    

# print(np.concatenate([a1, a2], 2))
# AxisError: axis 2 is out of bounds for array of dimension 2


    

In [10]:

    

a2_ = np.full((3, 3), 2)
print(a2_)


    

    




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

In [11]:

    

print(np.concatenate([a1, a2_], 0))


    

    




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

In [12]:

    

# print(np.concatenate([a1, a2_], 1))
# ValueError: all the input array dimensions except for the concatenation axis must match exactly


    

In [13]:

    

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


    

    




[1 1 1]

In [14]:

    

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


    

    




[2 2 2]

In [15]:

    

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


    

    




[1 1 1 2 2 2]

In [16]:

    

# print(np.concatenate([a1, a2], 1))
# AxisError: axis 1 is out of bounds for array of dimension 1


    

In [17]:

    

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


    

    




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

In [18]:

    

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


    

    




[2 2 2]

In [19]:

    

# print(np.concatenate([a1, a2], 0))
# ValueError: all the input arrays must have same number of dimensions