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NumPy | mod method

schedule Aug 12, 2023

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Parameters Return value Examples A common divisor Element-wise division

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Numpy's mod(~) method computes the remainder element-wise given two arrays. Numpy's remainder(~) method is equivalent to this method.

WARNING

Opt to use the % operator instead

If you don't need the 3rd and 4th parameters of this method, simply multiply two arrays using the % operator - you'll enjoy a performance boost.

Parameters

1. x1 | array_like

The values that will be dividend.

2. x2 | array_like

The values to divide by.

3. out | Numpy array | optional

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

4. where | array of boolean | optional

Values that are flagged as False will be ignored, that is, their original value will be uninitialized. If you specified the out parameter, the behaviour is slightly different - the original value will be kept intact.

Return value

A scalar is returned if x1 and x2 are scalars, otherwise a Numpy array is returned.

Examples

A common divisor


        
        
            
                
                
                    x = [3, 8, -7]
np.mod(x, 3)
                
            
            array([0, 2, 2])

Here, notice how -7%3=2, which is the way Python defines its modulo behaviour.

Element-wise division


        
        
            
                
                
                    x = [5, 8]
np.mod(x, [2,3])
                
            
            array([1, 2])

Here, we're simply performing 5%2=1 and 8%3=2.

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Published by Isshin Inada

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