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NumPy | fix method

schedule Aug 12, 2023

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Parameters Return value Examples Basic usage Specifying an output array

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Numpy's fix(~) method returns the ceiling for negative values and the floor for positive values. See examples below for clarification.

Parameters

1. a | array-like

The input array.

2. out | Numpy array | optional

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

Return value

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

Examples

Basic usage


        
        
            
                
                
                    np.fix([-3.2, -1.7, 1.5, 5.7])
                
            
            array([-3., -1.,  1.,  5.])

Just as a comparison, here's the output for the ceil(~) and floor(~) functions:


        
        
            
                
                
                    np.ceil([-3.2, -1.7, 1.5, 5.7])
                
            
            array([-3., -1.,  2.,  6.])


        
        
            
                
                
                    np.floor([-3.2, -1.7, 1.5, 5.7])
                
            
            array([-4., -2.,  1.,  5.])

As we've explained above, Numpy's fix(~) method returns the ceiling for negative values and the floor for positive values.

Specifying an output array


        
        
            
                
                
                    a = np.zeros(3)
np.fix([-3.2, -1.7, 1.5], out=a)
a
                
            
            array([-3., -1.,  1.])

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Published by Isshin Inada

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