NumPy array creation: copy() function

Last update on September 11 2020 14:08:23 (UTC/GMT +8 hours)

copy() function

The copy() function is used to get an array copy of an given object.

Version: 1.15.0

Syntax:

numpy.copy(a, order='K')

Parameter:

Name	Description	Required / Optional
a	Input data.	Required
order	Controls the memory layout of the copy. 'C' means C-order, 'F' means F-order, 'A' means 'F' if a is Fortran contiguous, 'C’ otherwise. 'K' means match the layout of a as closely as possible. (Note that this function and ndarray.copy are very similar, but have different default values for their order= arguments.)	optional

Return value:

arr : ndarray
Array interpretation of a.

Example-1:NumPy.copy() function

>>> import numpy as np
>>> a = np.array ( [2, 3, 4])
>>> b = a
>>> c = np.copy(a)
>>> a[0] = 15
>>> b[0] == b[0]
True

Note that, when we modify a, b changes, but not c:

Example-2:NumPy.copy() function

>>> import numpy as np
>>> a[0] == c[0]
False
>>>

Python - NumPy Code Editor:

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