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NumPy | diagflat method

schedule Aug 12, 2023

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Parameters Return value Examples Basic usage Specifying an offset

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Numpy's diagflat(~) method creates a 2D Numpy array with the diagonals specified by a flattened input array. All other entries are filled with zero.

Parameters

1. a | array-like

The input array. Multi-dimensional arrays would be flattened automatically to 1D.

2. klink | int | optional

If k is positive, a diagonal on the top will be filled. If negative, then a diagonal on the bottom will be filled. By default, k=0.

Return value

A 2D Numpy array.

Examples

Basic usage

Consider the following 2D array:


        
        
            
                
                
                    np.diagflat([4,5,6])
                
            
            array([[4, 0, 0],
       [0, 5, 0],
       [0, 0, 6]])

Specifying an offset


        
        
            
                
                
                    np.diagflat([4,5,6], k=1)
                
            
            array([[0, 4, 0, 0],
       [0, 0, 5, 0],
       [0, 0, 0, 6],
       [0, 0, 0, 0]])


        
        
            
                
                
                    np.diagflat([4,5], k=1)
                
            
            array([[0, 4, 0],
       [0, 0, 5],
       [0, 0, 0]])


        
        
            
                
                
                    np.diagflat([4,5], k=-1)
                
            
            array([[0, 0, 0],
       [4, 0, 0],
       [0, 5, 0]])

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Published by Isshin Inada

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