NumPy Arithmetic and Statistics - Comparison and Boolean Masks

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 on whether the element at that index lives up to the comparison or not. Let’s see this in action with some examples.

Run the code in the widget below and observe the outputs of the print statements to understand is going on.