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NumPy | less method

schedule Aug 12, 2023

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Parameters Return value Examples Basic usage

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Numpy's less(~) method performs an element-wise less-than (<) comparison given two arrays.

Parameters

1. x1 | array_like

The first input array.

2. x2 | array-like

The second input array.

3. out | Numpy array | optional

Instead of creating a new array, you can place the computed mean into the array specified by out.

4. where | array of boolean | optional

Values that are flagged as False will be ignored, that is, their original value will be uninitialized. If you specified the out parameter, the behaviour is slightly different - the original value will be kept intact.

Return value

If a is a scalar, then a single boolean is returned. Otherwise, a Numpy array of booleans is returned.

Examples

Basic usage


        
        
            
                
                
                    np.less([1,4], [2,3])
                
            
            array([ True, False])


        
        
            
                
                
                    np.less(5,5)
                
            
            False

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Published by Isshin Inada

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