Unlock the Power of Repeated Function Application
When working with arrays, applying a function repeatedly over multiple axes can be a game-changer. This is where the apply_over_axes() method comes into play.
Simplified Syntax
The syntax of apply_over_axes() is straightforward:
apply_over_axes(func, axis, array)
Breaking Down the Arguments
Let’s take a closer look at the three essential arguments:
func: the function to applyaxis: the axis along which the functions are appliedarray: the input array
A Crucial Note
The func should take two arguments: an input array and axis.
What to Expect
The apply_over_axes() method returns the resultant array with functions applied.
Real-World Examples
Example 1: Applying a Function Along Multiple Axes
[Output]
Example 2: Using a Lambda Function in an Array
We can return an array of values from the function.
[Output]
Take Your Skills to the Next Level
For a deeper dive into array manipulation, we recommend exploring the numpy apply_along_axis() function.