Python | numpy.copyto() function
Last Updated :
12 Apr, 2019
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 numpy as np
gfg = np.array([ 1 , 2 , 3 ])
geeks = [ 4 , 5 , 6 ]
np.copyto(gfg, geeks)
print (gfg)
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Example #2 :
import numpy as np
gfg = np.array([[ 1 , 2 , 3 ], [ 4 , 5 , 6 ]])
geeks = [[ 4 , 5 , 6 ], [ 7 , 8 , 9 ]]
np.copyto(gfg, geeks)
print (gfg)
|
Output:
[[4 5 6]
[7 8 9]]
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