Skip to content
Related Articles

Related Articles

numpy.concatenate() function | Python
  • Last Updated : 22 Apr, 2020

numpy.concatenate() function concatenate a sequence of arrays along an existing axis.

Syntax : numpy.concatenate((arr1, arr2, …), axis=0, out=None)
Parameters :
arr1, arr2, … : [sequence of array_like] The arrays must have the same shape, except in the dimension corresponding to axis.
axis : [int, optional] The axis along which the arrays will be joined. If axis is None, arrays are flattened before use. Default is 0.
out : [ndarray, optional] If provided, the destination to place the result. The shape must be correct, matching that of what concatenate would have returned if no out argument were specified.
Return : [ndarray] The concatenated array.

Code #1 :




# Python program explaining
# numpy.concatenate() function
  
# importing numpy as geek 
import numpy as geek
  
arr1 = geek.array([[2, 4], [6, 8]])
arr2 = geek.array([[3, 5], [7, 9]])
  
gfg = geek.concatenate((arr1, arr2), axis = 0)
  
print (gfg)

Output :

[[2 4]
 [6 8]
 [3 5]
 [7 9]]

 
Code #2 :






# Python program explaining
# numpy.concatenate() function
  
# importing numpy as geek 
import numpy as geek
  
arr1 = geek.array([[2, 4], [6, 8]])
arr2 = geek.array([[3, 5], [7, 9]])
  
gfg = geek.concatenate((arr1, arr2), axis = 1)
  
print (gfg)

Output :

[[2 4 3 5]
 [6 8 7 9]]

 
Code #3 :




# Python program explaining
# numpy.concatenate() function
  
# importing numpy as geek 
import numpy as geek
  
arr1 = geek.array([[2, 4], [6, 8]])
arr2 = geek.array([[3, 5], [7, 9]])
  
gfg = geek.concatenate((arr1, arr2), axis = None)
  
print (gfg)

Output :

[2 4 6 8 3 5 7 9]

Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course.

My Personal Notes arrow_drop_up
Recommended Articles
Page :