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Last updated on 4/11/24

Store Complex Data With Dictionaries

What Is a Dictionary?

Sometimes you might need to represent more complex data than numbers, strings, or lists.

A dictionary is a data structure that stores data in key-value pairs.  An example of a key and a value is campaign_manager: "Spencer Smith" where  campaign_manager  is the key, and  Spencer Smith  is the value. 

Dictionaries are denoted by curly braces  {}  at the beginning and end. Each key-value pair has a colon  :  in between the key and value and a comma  ,  at the end. Each dictionary has to have unique keys within it.

In the diagram below, the defined dictionary has three items, and each item is a key-value pair.

myDictionary = {
Each item in the dictionary is a key-value pair.

Create a Dictionary

Let’s say you want to store information about a new campaign for a dog food company. You’d probably need to save the campaign name, start and end dates, campaign manager, and the names of relevant influencers. You can save all of that information in one variable using a dictionary.

To store all the information, you could save a dictionary like so:

new_campaign = {
    "campaign_manager": "Spencer Smith",
    "campaign_name": "We love dogs campaign",
    "start_date": "01/01/2020",
    "end_date": "01/01/2021",
    "relevant_influencers": ["@MyDogLover", "@DogFoodFavorites"]
}

You can also create a new dictionary with just empty curly brackets  {}  or the  dict() function and add key-value pairs in after:

conversion_rates = {}
conversion_rates['facebook'] = 3.4
conversion_rates['instagram'] = 1.2
conversion_rates = dict()
conversion_rates['facebook'] = 3.4
conversion_rates['instagram'] = 1.2

Access a Value in a Dictionary

To access the different values, you can use the key for any one of the key-value pairs.

>> new_campaign['campaign_manager']
"Spencer Smith"
>> conversion_rates['facebook']
3.4

Give it a try in the activity below! 😁

Use Common Operations With Dictionaries

Just like lists, there are many methods (or operations) built into Python that makes it easy to interact with data in dictionaries.

Add a Key-Value Pair

To add a key-value pair to a dictionary, just add a new key to the existing dictionary. If the key already exists, setting a value will overwrite the existing key. The following code creates a dictionary called  golden_doodle_facts  and saves information about the mass and origin of the Goldendoodle dog breed. 

golden_doodle_facts = {
    "mass": "30-35 lbs.",
    "origin": "United States"
}

To add a new key-value about the scientific name of Goldendoodles, add:

golden_doodle_facts['scientific_name'] = "Canis lupus familiaris"

 Now  golden_doodle_facts is:

golden_doodle_facts = {
    "mass": "30-35 lbs.",
    "origin": "United States",
    "scientific_name": "Canis lupus familiaris"
}

If you were to write  golden_doodle_facts[“mass”] = “100 lbs.” , that would overwrite the existing value, so that:

>> golden_doodle_facts["mass"]
"100 lbs"

Delete a Key-Value Pair

To delete a key-value pair, you can use the  del  keyword and the key you want to delete. To delete the  “origin”  key-value pair from  golden_doodle_facts , type: 

>> del golden_doodle_facts[origin]
>> print(golden_doodle_facts)
{ "mass": "30-35 lbs.",
"scientific_name": "Canis lupus familiaris"}

What is a keyword? 

Certain words are part of the Python language and can’t be used when naming variables.  Examples are del, if, and else. Such words are known as reserved words or keywords. 

Check for the Existence of a Specific Key

You can use the  in  keyword to check whether a specific key exists in a dictionary. To do this, specify the key you want to search for, the keyword  in  , and the name of the dictionary variable to search. The result will be a boolean indicating whether or not the key is in that dictionary. For example, if you want to search if the key “mass” exists in your  golden_doodle_facts  dictionary, type the following: 

>> "mass" in golden_doodle_facts
True
>> "breed" in golden_doodle_facts
False

Level-Up: Store Complex Data With Dictionaries

Context:

Now that you have become familiar with some operations, practice manipulating dictionaries using all the methods seen previously. 😁

Instructions:

  • Create a dictionary called  fruitswith keys  apple,banana, and  orange, and values  red  ,yellow, andorange.

  • Add the key  kiwi  with the value  green to the  fruitsdictionary.

  • Access the value corresponding to the key  banana  and store it in a variable called  banana_color.

  • Modify the value associated with the key  apple  to  green.

  • Remove the key  orange  from the  fruits  dictionary.

  • Display the remaining keys in the dictionary.

Once you have completed the exercise, you can run the following command in the VS code terminal  pytest tests.py .

Let’s Recap!

  • A dictionary is a way to store key-value pairs that represent a larger object.

  • You can create a dictionary using curly braces  {}  and put all the key-values in at first, or add them over time.

  • Each key in a dictionary has to be unique.

Part 1 Summary

Congratulations! You've reached the end of Part 1 of this course and can now create data, the basic building blocks of Python code. You've accomplished a lot!

  • You've used variables to store information as data in Python code.

  • You've used data types to classify different kinds of data: integers, floats, strings, and booleans.

  • You've used lists and tuples to store related data.  

  • You've used dictionaries to store complex data.

You’re well on your way to becoming a Python programmer! Now it’s time for a quiz to test your skills at creating data in Python. Then in Part 2, you'll learn to manage program logic.

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