How can I create custom ufuncs in NumPy?

How can I create custom ufuncs in NumPy?

You can create custom ufuncs in NumPy using the numpy.frompyfunc function. This allows you to define a Python function and convert it into a ufunc.

Can you give me an example of a custom ufunc?

Sure! Here's a simple example: let's say you want to create a ufunc that adds 10 to each element. You can define a function like this:

import numpy as np

def add_ten(x):
    return x + 10

add_ten_ufunc = np.frompyfunc(add_ten, 1, 1)

Now you can use add_ten_ufunc on NumPy arrays!

What are the input and output parameters in frompyfunc?

In numpy.frompyfunc(func, nin, nout), func is your Python function, nin is the number of input arguments, and nout is the number of output values. For example, if your function takes two inputs and returns one output, you would use nin=2 and nout=1.

Can I use custom ufuncs with multi-dimensional arrays?

Yes, custom ufuncs can be applied to multi-dimensional arrays just like built-in ufuncs. They will automatically handle broadcasting!