# Create your own universal function in NumPy

Universal functions in Numpy are simple mathematical functions. It is just a term that we gave to mathematical functions in the Numpy library. Numpy provides various universal functions that cover a wide variety of operations. However, we can create our own universal function in Python. To create your own universal function in NumPy, we have to apply some steps given below:

1. Define the function as usually using the def keyword.
2. Add this function to numpy library using frompyfunc() method.
3. Use this function using numpy.

## frompyfunc() method

This function allows to create an arbitrary Python function as Numpy ufunc (universal function). This method takes the following arguments :

Parameters:

• function – the name of the function that you create.
• inputs – the number of input arguments (arrays) that function takes.
• outputs – the number of output (arrays) that function produces.

Example :

• Create function with name fxn that takes one value and also return one value.
• The inputs are array elements one by one.
• The outputs are modified array elements using some logic.

## Python3

 `# using numpy ` `import` `numpy as np ` ` `  `# creating own function ` `def` `fxn(val): ` `  ``return` `(val ``%` `2``) ` ` `  `# adding into numpy ` `mod_2 ``=` `np.frompyfunc(fxn, ``1``, ``1``) ` ` `  `# creating nummpy array ` `arr ``=` `np.arange(``1``, ``11``) ` `print``(``"arr     :"``, ``*``arr) ` ` `  `# using function over nummpy array ` `mod_arr ``=` `mod_2(arr) ` `print``(``"mod_arr :"``, ``*``mod_arr)`

Output :

```arr     : 1 2 3 4 5 6 7 8 9 10
mod_arr : 1 0 1 0 1 0 1 0 1 0
```
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