Boolean Masking
Explore how to apply Boolean masking in NumPy to efficiently manipulate arrays by filtering and extracting values using conditional statements. This lesson helps you understand the technique to handle data based on criteria, including filtering out values, counting filtered elements, and working with both 1D and 2D arrays.
We'll cover the following...
We'll cover the following...
Boolean mask arrays
The boolean mask is very useful when it comes to counting, modifying, extracting, or manipulating values in an array based on certain conditions or criteria. For example, the boolean mask can come in handy when ...