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Parameters Return value Examples Computing median of 1D array Computing median of 2D array Median of all values Median of each column Median of each row

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NumPy | median method

schedule Aug 12, 2023

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Parameters Return value Examples Computing median of 1D array Computing median of 2D array Median of all values Median of each column Median of each row

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Numpy's median(~) method computes the median along the specified axis.

Parameters

1. a | array-like

The input array.

2. axis | int or sequence of int | optional

The axis along which to compute the median. For 2D arrays, the allowed values are as follows:

Axis	Meaning
0	Row-wise computation of median
1	Column-wise computation of median
None	All values used to compute the median

By default, axis=None.

3. out | Numpy array | optional

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

4. overwrite_input | boolean | optional

Whether to mutate the content of the input array during the computation of the median. This would save memory space, but will render the input array unusable. By default, overwrite_input=False.

Return value

If axis is unset, then a scalar is returned. Otherwise, a Numpy array is returned.

Examples

Computing median of 1D array


        
        
            
                
                
                    np.median([4,2,3])
                
            
            3.0

Computing median of 2D array

Consider the following 2D array:


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

Median of all values


        
        
            
                
                
                    np.median(a)
                
            
            2.5

Median of each column


        
        
            
                
                
                    np.median(a, axis=0)
                
            
            array([2., 3.])

Median of each row


        
        
            
                
                
                    np.median(a, axis=1)
                
            
            array([1.5, 3.5])

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Published by Isshin Inada

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