numpy.append() in Python

The numpy.append() appends values along the mentioned axis at the end of the array Syntax : 

numpy.append(array, values, axis = None)

Parameters : 

array   : [array_like]Input array. 
values  : [array_like]values to be added in the arr. Values should be 
     shaped so that arr[...,obj,...] = values. If the axis is defined values can be of any
     shape as it will be flattened before use.
axis    : Axis along which we want to insert the values. By default, array
     is flattened.    

Return : 

An copy of array with values being appended at the end as per the mentioned object
along a given axis. 

Code 1 : Appending arrays 

Output : 

1D arr1 :  [0 1 2 3 4]
Shape :  (5,)

1D arr2 :  [ 8  9 10 11]
Shape :  (4,)

Appended arr3 :  [ 0  1  2  3  4  8  9 10 11]

The time complexity of the numpy.append() function is O(n) where n is the number of elements being appended. This means that the time needed to append elements increases linearly with the number of elements being appended.

The space complexity of the numpy.append() function is also O(n) where n is the number of elements being appended. This means that the amount of space needed to append elements increases linearly with the number of elements being appended.

Code 2 : Playing with axis 

Output : 

2D arr1 : 
 [[0 1 2 3]
 [4 5 6 7]]
Shape :  (2, 4)

2D arr2 : 
 [[ 8  9 10 11]
 [12 13 14 15]]
Shape :  (2, 4)

Appended arr3 by flattened :  [ 0  1  2  3  4  5  6  7  8  9 10 11 12 13 14 15]

Appended arr3 with axis 0 : 
 [[ 0  1  2  3]
 [ 4  5  6  7]
 [ 8  9 10 11]
 [12 13 14 15]]

Appended arr3 with axis 1 : 
 [[ 0  1  2  3  8  9 10 11]
 [ 4  5  6  7 12 13 14 15]]

References : https://docs.scipy.org/doc/numpy-dev/reference/generated/numpy.append.html#numpy.append .