numpy.copyto() function with example in python
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.
Parameters:
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)
Output:
[1,2,3]
