Currently, I have a dictionary, with its key representing a zip code, and the values are also a dictionary.
d = { 94111: {'a': 5, 'b': 7, 'd': 7},
95413: {'a': 6, 'd': 4},
84131: {'a': 5, 'b': 15, 'c': 10, 'd': 11},
73173: {'a': 15, 'c': 10, 'd': 15},
80132: {'b': 7, 'c': 7, 'd': 7} }
And then a second dictionary, which associates which state the zip code belongs to.
states = {94111: "TX", 84131: "TX", 95413: "AL", 73173: "AL", 80132: "AL"}
If the zip code in the dictionary states
matches one of the keys in db
then it would sum up those values and put it into a new dictionary like the expected output.
Expected Output:
{'TX': {'a': 10, 'b': 22, 'd': 18, 'c': 10}, 'AL': {'a': 21, 'd': 26, 'c': 17, 'b': 7}}
So far this is the direction I am looking to go into but I'm not sure when both the keys match, how to create a dictionary that will look like the expected output.
def zips(d, states):
result = dict()
for key, value in db.items():
for keys, values in states.items():
if key == keys:
zips(d, states)
The straight answer is NO. You can not have duplicate keys in a dictionary in Python.
No, each key in a dictionary should be unique. You can't have two keys with the same value. Attempting to use the same key again will just overwrite the previous value stored. If a key needs to store multiple values, then the value associated with the key should be a list or another dictionary.
Second, a dictionary key must be of a type that is immutable. For example, you can use an integer, float, string, or Boolean as a dictionary key. However, neither a list nor another dictionary can serve as a dictionary key, because lists and dictionaries are mutable.
If the key is already present in the dictionary, it gets overwritten with the new value. The keys can also be passed as keyword arguments to this method with their corresponding values, like dictionary. update(new_key=new_value) .
Using collections
module
Ex:
from collections import defaultdict, Counter
d = { 94111: {'a': 5, 'b': 7, 'd': 7},
95413: {'a': 6, 'd': 4},
84131: {'a': 5, 'b': 15, 'c': 10, 'd': 11},
73173: {'a': 15, 'c': 10, 'd': 15},
80132: {'b': 7, 'c': 7, 'd': 7} }
states = {94111: "TX", 84131: "TX", 95413: "AL", 73173: "AL", 80132: "AL"}
result = defaultdict(Counter)
for k,v in d.items():
if k in states:
result[states[k]] += Counter(v)
print(result)
Output:
defaultdict(<class 'collections.Counter'>, {'AL': Counter({'d': 26, 'a': 21, 'c': 17, 'b': 7}),
'TX': Counter({'b': 22, 'd': 18, 'a': 10, 'c': 10})})
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