NumPy Logic functions: array_equiv() function

numpy.array_equiv() function

The array_equiv() is used to 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.

Syntax:

numpy.array_equiv(a1, a2)

Version: 1.15.0

Parameter:

Returns:
out : bool - True if equivalent, False otherwise.

NumPy.array_equiv() method Example-1:

>>> import numpy as np
>>> np.array_equiv([2, 4], [2, 4])

Output:

True

NumPy.array_equiv() method Example-2:

>>> import numpy as np
>>> np.array_equiv([2, 4], [4, 2])

Output:

False

Showing the shape equivalence:

NumPy.array_equiv() method Example-3:

>>> import numpy as np
>>> np.array_equiv([2, 5], [[2, 5], [2, 5]])

Output:

True

NumPy.array_equiv() method Example-4:

>>> import numpy as np
>>> np.array_equiv([2, 5], [[2, 5, 2, 5], [5, 2, 5, 2]])

Output:

False

NumPy.array_equiv() method Example-5:

>>> import numpy as np
>>> np.array_equiv([2, 4], [[2, 4], [5, 2]])

Output:

False

Python - NumPy Code Editor:

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