NumPy Arithmetic and Statistics - Comparison and Boolean Masks
Explore how to use NumPy for element-wise comparisons and boolean masks to filter and analyze data effectively. Understand counting and selecting subsets with boolean arrays to answer practical questions in datasets.
We'll cover the following...
We'll cover the following...
3. Comparisons and Boolean Masks
a. Comparisons
In this world reigned by the social media, the trap of making comparisons is just about everywhere. So, staying true to the culture of making comparisons, let’s talk about comparisons in NumPy
NumPy provides comparison operators such as less than and greater than as element-wise functions. The result of these comparison operators is always an array with a Boolean data type, i.e., we get boolean array as output which contains only True and False values depending ...