numpy.copyto() function with example in python

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numpy.copyto(): This function copies values from one array to another, broadcasting as necessary.

Syntax: numpy.copyto(dst, src, casting=’same_kind’, where=True)

Raises a TypeError if the casting rule is violated, and if where is provided, it selects which elements to copy.

New in version 1.7.0.

dst : ndarray
The array into which values are copied.

src : array_like
The array from which values are copied.

casting : {‘no’, ‘equiv’, ‘safe’, ‘same_kind’, ‘unsafe’}, optional
Controls what kind of data casting may occur when copying.

‘no’ means the data types should not be cast at all.
‘equiv’ means only byte-order changes are allowed.
‘safe’ means only casts which can preserve values are allowed.
‘same_kind’ means only safe casts or casts within a kind, like float64 to float32, are allowed.
‘unsafe’ means any data conversions may be done.
where : array_like of bool, optional
A boolean array which is broadcasted to match the dimensions of dst, and selects elements to copy from src to dst wherever it contains the value True.

import numpy as np a = np.array([1,2,3]) b= np.array([4,5,6]) np.copyto(b,a) print(b)




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