pop
is a great little function that, when used on dictionaries (given a known key) removes the item with that key from the dictionary and also returns the corre
here is a simpler implementation
class CustomDict(dict):
def pop_item(self, key):
popped = {key:self[key]} #save "snapshot" of the value of key before popping
self.pop(key)
return popped
a = CustomDict()
b = {"hello":"wassup", "lol":"meh"}
a.update(b)
print(a.pop_item("lol"))
print(a)
So here we create a custom dict
that pops the item you want and gives out the key-value pair
You can define yourself dictionary object using python ABCs which provides the infrastructure for defining abstract base classes. And then overload the pop
attribute of python dictionary objects based on your need:
from collections import Mapping
class MyDict(Mapping):
def __init__(self, *args, **kwargs):
self.update(dict(*args, **kwargs))
def __setitem__(self, key, item):
self.__dict__[key] = item
def __getitem__(self, key):
return self.__dict__[key]
def __delitem__(self, key):
del self.__dict__[key]
def pop(self, k, d=None):
return k,self.__dict__.pop(k, d)
def update(self, *args, **kwargs):
return self.__dict__.update(*args, **kwargs)
def __iter__(self):
return iter(self.__dict__)
def __len__(self):
return len(self.__dict__)
def __repr__(self):
return repr(self.__dict__)
Demo:
d=MyDict()
d['a']=1
d['b']=5
d['c']=8
print d
{'a': 1, 'c': 8, 'b': 5}
print d.pop(min(d, key=d.get))
('a', 1)
print d
{'c': 8, 'b': 5}
Note : As @chepner suggested in comment as a better choice you can override popitem
, which already returns a key/value pair.
A heap supports the pop-min operation you describe. You'll need to create a heap from your dictionary first, though.
import heapq
# Must be two steps; heapify modifies its argument in-place.
# Reversing the key and the value because the value will actually be
# the "key" in the heap. (Or rather, tuples are compared
# lexicographically, so put the value in the first position.)
heap = [(v, k) for k, v in some_dict.items()]
heapq.heapify(heap)
# Get the smallest item from the heap
value, key = heapq.heappop(heap)