All the input array dimensions except for the concatenation axis must match exactly

Question

Problem :

 

How to concatenate following numpy arrays?

First np.array with the shape (5,4) as below :

[[  7487    500 389580      0]

 [  7488    501 392994      0]

 [  7491    508 389247      0]

 [  7491    508 389247      0]

 [  7492    502 399013      0]]

Second np.array with the shape (1,5) as below :

[  16.   15.   12.  12.  17. ]

The Final result must be as shown below :

[[  7487    500    389580    0   16]

 [  7488    501    392994    0   15]

 [  7491    508    389247    0   12]

 [  7491    508    389247    0   12]

 [  7492    502    399013    0   17]]

I have already tried np.concatenate([array1, array2]) but i get below error

ValueError: all the input arrays must have same number of dimensions

How can I get the required output?

Answer 1

You can follow the approach as given below :

import numpy as mynp

x = mynp.random.randint(100, size=(5, 4))

y = [16, 15, 12, 12, 17]

print(x)

val = mynp.concatenate((x,mynp.reshape(y,(x.shape[0],1))),axis=1)

print(val)

The output will be as below:

[[32 37 35 53]

 [64 23 95 76]

 [17 76 11 30]

 [35 42  6 80]

 [61 88  7 56]]

[[32 37 35 53 16]

 [64 23 95 76 15]

 [17 76 11 30 12]

 [35 42  6 80 12]

 [61 88  7 56 17]]