Creating Dictionaries with Duplicate Keys in Python
Many data structures in programming languages, such as dictionaries, do not support duplicate keys. However, there are ways to work around this limitation in Python.
Consider the following scenario where you have a text file containing duplicate car registration numbers with different values:
EDF768, Bill Meyer, 2456, Vet_Parking TY5678, Jane Miller, 8987, AgHort_Parking GEF123, Jill Black, 3456, Creche_Parking ABC234, Fred Greenside, 2345, AgHort_Parking GH7682, Clara Hill, 7689, AgHort_Parking JU9807, Jacky Blair, 7867, Vet_Parking KLOI98, Martha Miller, 4563, Vet_Parking ADF645, Cloe Freckle, 6789, Vet_Parking DF7800, Jacko Frizzle, 4532, Creche_Parking WER546, Olga Grey, 9898, Creche_Parking HUY768, Wilbur Matty, 8912, Creche_Parking EDF768, Jenny Meyer, 9987, Vet_Parking TY5678, Jo King, 8987, AgHort_Parking JU9807, Mike Green, 3212, Vet_Parking
The goal is to create a dictionary using the registration numbers as keys and the data (excluding the registration number) as values. However, traditional dictionaries in Python will overwrite the old value when duplicates are encountered.
Using defaultdict for Duplicate Keys
One solution is to use the defaultdict from the collections library, which allows us to store lists or sets of values associated with a key.
from collections import defaultdict data_dict = defaultdict(list)
Instead of setting a single value for a key, we append the new value to the list associated with that key:
data_dict[regNumber].append(details)
This way, the dictionary will contain lists of values for duplicate keys, effectively allowing multiple values to be associated with the same key.
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