Understanding __getitem__ method
Solution 1:
Cong Ma does a good job of explaining what __getitem__
is used for - but I want to give you an example which might be useful.
Imagine a class which models a building. Within the data for the building it includes a number of attributes, including descriptions of the companies that occupy each floor :
Without using __getitem__
we would have a class like this :
class Building(object):
def __init__(self, floors):
self._floors = [None]*floors
def occupy(self, floor_number, data):
self._floors[floor_number] = data
def get_floor_data(self, floor_number):
return self._floors[floor_number]
building1 = Building(4) # Construct a building with 4 floors
building1.occupy(0, 'Reception')
building1.occupy(1, 'ABC Corp')
building1.occupy(2, 'DEF Inc')
print( building1.get_floor_data(2) )
We could however use __getitem__
(and its counterpart __setitem__
) to make the usage of the Building class 'nicer'.
class Building(object):
def __init__(self, floors):
self._floors = [None]*floors
def __setitem__(self, floor_number, data):
self._floors[floor_number] = data
def __getitem__(self, floor_number):
return self._floors[floor_number]
building1 = Building(4) # Construct a building with 4 floors
building1[0] = 'Reception'
building1[1] = 'ABC Corp'
building1[2] = 'DEF Inc'
print( building1[2] )
Whether you use __setitem__
like this really depends on how you plan to abstract your data - in this case we have decided to treat a building as a container of floors (and you could also implement an iterator for the Building, and maybe even the ability to slice - i.e. get more than one floor's data at a time - it depends on what you need.
Solution 2:
The []
syntax for getting item by key or index is just syntax sugar.
When you evaluate a[i]
Python calls a.__getitem__(i)
(or type(a).__getitem__(a, i)
, but this distinction is about inheritance models and is not important here). Even if the class of a
may not explicitly define this method, it is usually inherited from an ancestor class.
All the (Python 2.7) special method names and their semantics are listed here: https://docs.python.org/2.7/reference/datamodel.html#special-method-names