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NumPy | msort method

schedule Aug 12, 2023

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Parameters Return value Examples Sorting an one-dimensional array Sorting a two-dimensional array

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Numpy's msort(~) method returns a new copy of the input array that is sorted along the first axis. Note that this method is equivalent to np.sort(array,axis=0).

Parameters

1. a | array_like

The input array.

Return value

A Numpy array that is a copy of the input array sorted along the first axis.

WARNING

The msort(~) method lacks flexibility

The msort(~) method can only sort along the first axis, which means that for 2D arrays, sorting can only be done column-wise. If you require a more flexible method, then go for np.sort(~) - click here for its documentation.

Examples

Sorting an one-dimensional array


        
        
            
                
                
                    x = np.array([5,7,2,4])
np.msort(x)
                
            
            array([2, 4, 5, 7])

Sorting a two-dimensional array

As mentioned above, the msort(~) method can only sort elements along the first axis. This means that for 2D arrays, we can only sort column-wise.

Suppose we have the following:


        
        
            
                
                
                    x = np.array([[1,4],[3,2]])
x
                
            
            array([[1, 4],
       [3, 2]])

To perform column-wise sort:


        
        
            
                
                
                    np.msort(x)
                
            
            array([[1, 2],
       [3, 4]])

If you need to sort row-wise, use np.sort(x, axis=1) instead.

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Published by Isshin Inada

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