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NumPy | flatnonzero method

schedule Aug 12, 2023

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Parameters Return value Examples One-dimensional arrays Two-dimensional arrays

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Numpy's flatnonzero(~) method returns the indices of non-zero values in the flattened version of the input array.

Parameters

1. a | array_like

The input array.

Return value

A Numpy array of indices of non-zero values in the flattened version of the input array.

Examples

One-dimensional arrays

One-dimensional arrays are already flat, so this is equivalent to just applying the np.nonzero(~):


        
        
            
                
                
                    np.flatnonzero([5,3,0,2])
                
            
            array([0, 1, 3])

Here, the indices 0, 1 and 3 are returned since the values 5, 3 and 2 are non-zeros.

Two-dimensional arrays

Suppose we had a 2D array:


        
        
            
                
                
                    np.flatnonzero([[1,0],[2,3]])
                
            
            array([0, 2, 3])

Here, the 2D array is first flattened out to [1,0,2,3], and then the indices of the non-zero value are extracted.

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Published by Isshin Inada

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