xorbits.numpy.array_equiv

xorbits.numpy.array_equiv(a1, a2)

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 (array_like) – Input arrays.

• a2 (array_like) – Input arrays.

Returns

out – True if equivalent, False otherwise.

Return type

bool

Examples

>>> 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

Warning

This method has not been implemented yet. Xorbits will try to execute it with numpy.

This docstring was copied from numpy.