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]
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