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Parameters Return value Examples Specifying both lower and upper bound Not specifying a lower bound Not specifying an upper bound Clipping a 2D array

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NumPy | clip method

schedule Aug 12, 2023

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Parameters Return value Examples Specifying both lower and upper bound Not specifying a lower bound Not specifying an upper bound Clipping a 2D array

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Numpy's clip(~) method is used to ensure that the values of the input array are between a particular range.

Parameters

1. a | array_like

The input array.

2. a_min | scalar or array_like or None

The lower bound to clip. Values that are smaller than a_min will be replaced by a_min. You can ignore the lower bound by setting None.

3. a_max | scalar or array_like or None

The upper bound to clip. Values that are larger than a_max will be replaced by a_max. You can ignore the upper bound by setting None.

Return value

A Numpy array with the values of the input array clipped as per your parameters.

Examples

Specifying both lower and upper bound


        
        
            
                
                
                    x = np.array([1,2,3,4,5])
np.clip(x, 2, 4)
                
            
            array([2, 2, 3, 4, 4])

Notice how the value 1 was clipped up to 2, while the value 5 is clipped down to 4.

Not specifying a lower bound

Set None for the second parameter:


        
        
            
                
                
                    x = np.array([1,2,3,4,5])
np.clip(x, None, 4)
                
            
            array([1, 2, 3, 4, 4])

Not specifying an upper bound

Set None for the third parameter:


        
        
            
                
                
                    x = np.array([1,2,3,4,5])
np.clip(x, 2, None)
                
            
            array([2, 2, 3, 4, 5])

Clipping a 2D array

Clipping a multi-dimensional array is slightly tricky. Consider the following example:


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

Here, the first row [1,2] is clipped by the lower bound [2,3] - the clipping is done element-wise and so since 1<2 and 2<3, both values are clipped up to [2,3].

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Published by Isshin Inada

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