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Python | Numpy numpy.ndarray.__add__()
• Last Updated : 06 Mar, 2019

With the help of `Numpy numpy.ndarray.__add__()`, we can add a particular value that is provided as a parameter in the `ndarray.__add__()` method. Value will be added to each and every element in a numpy array.

Syntax: ndarray.__add__(\$self, value, /)

Return: self+value

Example #1 :
In this example we can see that each and every element in an array is added with the value given as a parameter in method `ndarray.__add__()`. Remember one thing it wouldn’t work for double type values.

 `# import the important module in python``import` `numpy as np``  ` `# make an array with numpy``gfg ``=` `np.array([``1``, ``2``, ``3``, ``4``, ``5``])``  ` `# applying ndarray.__add__() method``print``(gfg.__add__(``5``))`
Output:

```[ 6  7  8  9  10]
```

Example #2 :

 `# import the important module in python``import` `numpy as np``  ` `# make an array with numpy``gfg ``=` `np.array([[``1``, ``2``, ``3``, ``4``, ``5``],``                ``[``6``, ``5``, ``4``, ``3``, ``2``]])``  ` `# applying ndarray.__add__() method``print``(gfg.__add__(``5``))`
Output:
```[[ 6  7  8  9  10]
[11  10  9  8  7]]
```

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