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NumPy | logical_not method

schedule Aug 12, 2023

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Parameters Return value Examples Basic usage

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Numpy's logical_not(~) whether each value in the input array evaluates to False. A useful interpretation of this method is that it flips the boolean, that is, True become False and vice versa.

Parameters

1. a | array_like

The input array.

2. out | Numpy array | optional

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

3. 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 behavior 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.logical_not([False, True])
                
            
            array([ True, False])


        
        
            
                
                
                    np.logical_not([0, 1, 5])
                
            
            array([ True, False, False])

On a more practical note, suppose we wanted to find that numbers are not even from an array:


        
        
            
                
                
                    a = np.array([1,2,3,4,5])
mask = np.logical_not(a%2==0)
mask
                
            
            array([ True, False,  True, False,  True])

To fetch the values that fit our criteria (i.e. the one flagged as True):


        
        
            
                
                
                    a[mask]
                
            
            array([1, 3, 5])

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Published by Isshin Inada

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