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NumPy | array_equiv method

schedule Aug 10, 2023

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Parameters Return value Examples Basic usage Consistent shapes Comparing different types

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Numpy's array_equiv(~) takes in two arrays and returns True if they have consistent shape and the same elements.

Parameters

1. x1 | array-like

The first input array.

2. x2 | array-like

The second input array.

Return value

A single boolean that indicates whether or not the two arrays are equal.

Examples

Basic usage


        
        
            
                
                
                    np.array_equiv([2,3], [5,3])
                
            
            False

Here, the first element-wise comparison 2 != 5, so the method returns False.

Consistent shapes


        
        
            
                
                
                    np.array_equiv([5,3], [[5,3],[5,3]])
                
            
            True

Comparing different types


        
        
            
                
                
                    np.array_equiv([5.0,3], [5,3])
                
            
            True

Here, notice how the comparison between 5.0 (float) and 5 (int) returned True.

Related

Difference between the methods array_equal and array_equiv in NumPy

The key difference is that array_equal returns True when the shape of the arrays exactly match, whereas array_equiv will also return True if the one array can be broadcasted to take on the same shape.

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Published by Isshin Inada

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