Python | Numpy ndarray.__copy__()
With the help of Numpy ndarray.__copy__()
method, we can make a copy of all the data elements that is present in numpy array. If you change any data element in the copy, it will not affect the original numpy array.
Syntax : numpy.__copy__()
Return : Copy of all the data elements
Example #1 :
In this example we can see that with the help of numpy.__copy__()
method we are making the copy of an elements.
import numpy as np
gfg = np.array([ 1 , 2 , 3 , 4 , 5 ])
geeks = gfg.__copy__()
print (geeks)
|
Example #2 :
import numpy as np
gfg = np.array([[ 1 , 2 , 3 , 4 , 5 ],
[ 6 , 5 , 4 , 3 , 2 ]])
geeks = gfg.__copy__()
geeks[ 0 ][ 2 ] = 10
print (gfg, end = '\n\n' )
print (geeks)
|
Output:
[[1 2 3 4 5]
[6 5 4 3 2]]
[[ 1 2 10 4 5]
[ 6 5 4 3 2]]
Last Updated :
29 Mar, 2019
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