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 :
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)
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Output :
[[2 4]
[6 8]
[3 5]
[7 9]]
Code #2 :
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 :
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]
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