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NumPy | add method

schedule Aug 12, 2023

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Parameters Return value Examples Basic usage

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Numpy's add(~) method takes in two array and performs an element-wise addition.

WARNING

Opt for direct addition (i.e. arr_one + arr_two) instead

Unless you need the second and third parameters of the method, opt to directly use + operator instead for a performance boost.

Parameters

1. x1 | array-like

The first input array.

2. x2 | array-like

The second input array.

3. out | Numpy array | optional

Instead of creating a new array, you can place the computed result 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 behavior is slightly different - the original value will be kept intact.

Return value

A scalar is returned if a is a scalar, otherwise a Numpy array is returned.

Examples

Basic usage


        
        
            
                
                
                    a = np.array([1,2,3])
b = np.array([4,5,6])
np.add(a,b)
                
            
            array([5, 7, 9])

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Published by Isshin Inada

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