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NumPy | maximum method

schedule Aug 12, 2023

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Parameters Return value Examples When the shape matches When the shape does not match Comparisons between NaNs

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Numpy's maximum() method takes as input two arrays, and performs element-wise comparisons to return a new Numpy array containing the larger value of each pair.

Parameters

1. x1 | array-like

The first input array.

2. x2 | array-like

The second input array.

If the shape of x1 and x2 does not match, then the arrays must be able to broadcast to a common shape. Please see the examples below for clarification.

Return value

A Numpy array that holds the maximums of the pair-wise comparisons.

Examples

When the shape matches


        
        
            
                
                
                    x = np.array([2,3,7])
y = np.array([1,5,6])
z = np.maximum(x,y)
z
                
            
            array([2, 5, 7])

Here, we're doing three comparisons; 2 > 1, 3 < 5 and 7 > 6. The maximums are 2, 5 and 7.

When the shape does not match

We now examine the case where the shape of the two arrays does not match.


        
        
            
                
                
                    x = np.array([3,2])
y = np.array([[1,4],[5,6]])
z = np.maximum(x,y)
z
                
            
            array([[3, 4],
       [5, 6]])

Comparisons between NaNs

When comparison is performed between a number and NaN, then NaN is returned:


        
        
            
                
                
                    x = np.array([np.NaN,2])
y = np.array([1,4])
z = np.maximum(x,y)
z
                
            
            array([nan,  4.])

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Published by Isshin Inada

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