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Dicts

Dictionaries in Python allow you to store data in a structured way, associating unique keys with specific values. This is particularly useful in music analytics, where you often need to organize and access data efficiently.

In Python, a dictionary is a collection of key-value pairs. Think of it as a music library, where each track's title (key) is associated with its details like artist, duration, or genre (value). Dictionaries are defined using curly braces {} and key-value pairs are separated by colons :.

Example:


python

You can access the values in a dictionary by using the keys. For example, to get the artist of "Bohemian Rhapsody", you would use track_details["Bohemian Rhapsody"]["artist"]. Additionally, dictionaries allow you to add new key-value pairs or update existing ones. For instance, if you want to update the duration of "Imagine", you can simply assign a new value: track_details["Imagine"]["duration"] = 185.


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track_details = {
    "Bohemian Rhapsody": {"artist": "Queen", "duration": 354, "genre": "Rock"},
    "Imagine": {"artist": "John Lennon", "duration": 183, "genre": "Pop"}
}
bohemian_artist = track_details["Bohemian Rhapsody"]["artist"]
print(bohemian_artist)

track_details["Imagine"]["duration"] = 185
imagine_duration = track_details["Imagine"]["duration"]
print(imagine_duration)

You can use loops to iterate over dictionaries, which is useful for processing all key-value pairs. For example, to print each track's details:


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track_details = {
    "Stairway to Heaven": {"artist": "Led Zeppelin", "duration": 482, "genre": "Rock"},
    "Hey Jude": {"artist": "The Beatles", "duration": 431, "genre": "Pop"},
    "Hotel California": {"artist": "Eagles", "duration": 390, "genre": "Rock"}
}

for track, details in track_details.items():
    print(f"{track}: {details}")

Task

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Complete the filter_popular_tracks function that filters tracks by excluding those with popularity below a certain threshold and returns their IDs. This function is useful for organizing and displaying track information based on popularity criteria.

Inputs:

tracks: A list of dictionaries, each representing a track with keys such as track_id and track_popularity.
min_popularity: An integer representing the minimum popularity threshold.

Steps:

Filter Tracks: Iterate over the tracks list and check if the track's popularity is greater than or equal to min_popularity. If so, add the track's ID to the result list.

Solution

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Section 1. Chapter 5

solution.py

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Dicts

Example:


python


              12345678910
            
track_details = {
    "Bohemian Rhapsody": {"artist": "Queen", "duration": 354, "genre": "Rock"},
    "Imagine": {"artist": "John Lennon", "duration": 183, "genre": "Pop"}
}
bohemian_artist = track_details["Bohemian Rhapsody"]["artist"]
print(bohemian_artist)

track_details["Imagine"]["duration"] = 185
imagine_duration = track_details["Imagine"]["duration"]
print(imagine_duration)

You can use loops to iterate over dictionaries, which is useful for processing all key-value pairs. For example, to print each track's details:


              12345678
            
track_details = {
    "Stairway to Heaven": {"artist": "Led Zeppelin", "duration": 482, "genre": "Rock"},
    "Hey Jude": {"artist": "The Beatles", "duration": 431, "genre": "Pop"},
    "Hotel California": {"artist": "Eagles", "duration": 390, "genre": "Rock"}
}

for track, details in track_details.items():
    print(f"{track}: {details}")

Task

Swipe to start coding

Inputs:

tracks: A list of dictionaries, each representing a track with keys such as track_id and track_popularity.
min_popularity: An integer representing the minimum popularity threshold.

Steps:

Filter Tracks: Iterate over the tracks list and check if the track's popularity is greater than or equal to min_popularity. If so, add the track's ID to the result list.

Solution

Switch to desktop for real-world practiceContinue from where you are using one of the options below

Everything was clear?

Thanks for your feedback!

Section 1. Chapter 5

Switch to desktop for real-world practiceContinue from where you are using one of the options below