Why/How does Pandas use square brackets with .loc and .iloc?
Underneath the covers, both are using the __setitem__ and __getitem__ functions.
So .loc and .iloc are not your typical functions. They somehow use [ and ] to surround the arguments so that it is comparable to normal array indexing. However, I have never seen this in another library (that I can think of, maybe numpy as something like this that I'm blanking on), and I have no idea how it technically works/is defined in the python code.
Are the brackets in this case just syntactic sugar for a function call? If so, how then would one make an arbitrary function use brackets instead of parenthesis? Otherwise, what is special about their use/defintion Pandas?