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

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

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

Return: self*value

Example #1 :
In this example, we can see that each element in an array is multiplied with the value given as a parameter in method `ndarray.__mul__()`. This method will work fine for positive, negative and floating point values of an array.

 `# import the important module in python ` `import` `numpy as np ` `  `  `# make an array with numpy ` `gfg ``=` `np.array([``1``, ``2.5``, ``3``, ``4.8``, ``5``]) ` `  `  `# applying ndarray.__mul__() method ` `print``(gfg.__mul__(``5``)) `

Output:

```[  5.   12.5  15.   24.   25. ]
```

Example #2 :

 `# import the important module in python ` `import` `numpy as np ` `  `  `# make an array with numpy ` `gfg ``=` `np.array([[``1``, ``2``, ``3``, ``4.45``, ``5``], ` `                ``[``6``, ``5.5``, ``4``, ``3``, ``2.62``]]) ` `  `  `# applying ndarray.__mul__() method ` `print``(gfg.__mul__(``5``)) `

Output:

```[[  5.    10.    15.    22.25  25.  ]
[ 30.    27.5   20.    15.    13.1 ]]
```

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