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NumPy | dstack method

schedule Aug 12, 2023

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Parameters Return values Examples Concatenating 1D arrays Concatenating 2D arrays

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Numpy's dstack(~) method is used to concatenate arrays along the third axis. Check the examples below for clarification.

Parameters

1. tup | array-like

The arrays that will concatenated along the third axis.

Return values

A Numpy array with the provided arrays concatenated along the third axis.

Examples

Concatenating 1D arrays


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

Note that you aren't limited to concatenating just two arrays at once - you can pass in as many as you wish. Also, the returned Numpy array here is three-dimensional.

Concatenating 2D arrays


        
        
            
                
                
                    x = np.array([[1,2],[3,4]]) 
y = np.array([[5,6],[7,8]]) 
z = np.dstack([x,y])
z
                
            
            array([[[1, 5],
        [2, 6]],
       [[3, 7],
        [4, 8]]])

Just to make it easier to process this, here's x and y pretty-formatted:


        
        
            
                
                
                    x = [[1, 2],     y = [[5, 6] 
     [3, 4]]          [7, 8]]

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Published by Isshin Inada

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