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# Python | Numpy numpy.ndarray.__sub__()

• Last Updated : 06 Mar, 2019

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

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

Return: self-value

Example #1 :
In this example we can see that each and every element in an array is subtracted with the value given as a parameter in method `ndarray.__sub__()`. 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.__sub__() method ` `print``(gfg.__sub__(``5``)) `

Output:

```[-4 -3 -2 -1  0]
```

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.__sub__() method ` `print``(gfg.__sub__(``5``)) `

Output:

```[[-4 -3 -2 -1  0]
[ 1  0 -1 -2 -3]]
```
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