numpy.copyto — NumPy v2.2 Manual (original) (raw)

numpy.copyto(dst, src, casting='same_kind', where=True)#

Copies values from one array to another, broadcasting as necessary.

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

Parameters:

dstndarray

The array into which values are copied.

srcarray_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.

wherearray_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.

Examples

import numpy as np A = np.array([4, 5, 6]) B = [1, 2, 3] np.copyto(A, B) A array([1, 2, 3])

A = np.array([[1, 2, 3], [4, 5, 6]]) B = [[4, 5, 6], [7, 8, 9]] np.copyto(A, B) A array([[4, 5, 6], [7, 8, 9]])