Master Array Manipulation: Apply Functions Across Axes

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 apply
• axis: the axis along which the functions are applied
• array: 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.