With the help of Numpy numpy.copyto()
method, we can make a copy of all the data elements that is present in numpy array. If we change any data element in the copy, it will not affect the original numpy array.
Syntax :
numpy.copyto(destination, source)
Return : Return copy of an array
Example #1 :
In this example we can see that with the help of numpy.copyto()
method we are making the copy of an elements in a destination array.
# import the important module in python import numpy as np
# make an array with numpy gfg = np.array([ 1 , 2 , 3 ])
geeks = [ 4 , 5 , 6 ]
# applying numpy.copyto() method np.copyto(gfg, geeks) print (gfg)
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Output:
[4 5 6]
Example #2 :
# import the important module in python import numpy as np
# make an array with numpy gfg = np.array([[ 1 , 2 , 3 ], [ 4 , 5 , 6 ]])
geeks = [[ 4 , 5 , 6 ], [ 7 , 8 , 9 ]]
# applying numpy.copyto() method np.copyto(gfg, geeks) print (gfg)
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Output:
[[4 5 6] [7 8 9]]