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:
track_details = {
"Bohemian Rhapsody": {"artist": "Queen", "duration": 354, "genre": "Rock"},
"Imagine": {"artist": "John Lennon", "duration": 183, "genre": "Pop"}
}
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.
12345678910track_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:
12345678track_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}")
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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 astrack_idandtrack_popularity.min_popularity: An integer representing the minimum popularity threshold.
Steps:
- Filter Tracks: Iterate over the
trackslist and check if the track's popularity is greater than or equal tomin_popularity. If so, add the track's ID to the result list.
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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:
track_details = {
"Bohemian Rhapsody": {"artist": "Queen", "duration": 354, "genre": "Rock"},
"Imagine": {"artist": "John Lennon", "duration": 183, "genre": "Pop"}
}
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.
12345678910track_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:
12345678track_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}")
Swipe to start coding
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 astrack_idandtrack_popularity.min_popularity: An integer representing the minimum popularity threshold.
Steps:
- Filter Tracks: Iterate over the
trackslist and check if the track's popularity is greater than or equal tomin_popularity. If so, add the track's ID to the result list.
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Completion rate improved to 5.56solution.py
main.py
