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

numpy.array_equiv(a1, a2)[source]#

Returns True if input arrays are shape consistent and all elements equal.

Shape consistent means they are either the same shape, or one input array can be broadcasted to create the same shape as the other one.

Parameters:

a1, a2array_like

Input arrays.

Returns:

outbool

True if equivalent, False otherwise.

Examples

import numpy as np np.array_equiv([1, 2], [1, 2]) True np.array_equiv([1, 2], [1, 3]) False

Showing the shape equivalence:

np.array_equiv([1, 2], [[1, 2], [1, 2]]) True np.array_equiv([1, 2], [[1, 2, 1, 2], [1, 2, 1, 2]]) False

np.array_equiv([1, 2], [[1, 2], [1, 3]]) False