DSC $430$: Python Programming

Assignment $0802$: SpotiPy

In this assignment, you will use pandas to process a data set of artists and their tracks downloaded from Spotify Web API. This data come in two files: artists.tsv and tracks.tsv$,$ both of which have tab$-$separated values. They contain uniquely identified $240K$ artists and $450K$ tracks performed by these artists, respectively. In the former, you can find basic information such as number of followers and genre of the artists, and in the latter, there are information about popularity of the tracks and ID of the artists that performed them.

Note that the ID$($s$)$ in $"$id$\_$artists" of tracks.tsv have one or multiple IDs separated by $,"($comma and a space$).$ These IDs can be matched with the ones in $"$id$"$ column of artists.tsv to uniquely identify artists that performed the tracks. Another multi$-$value column is called "genres" in artists.tsv$.$ It shows genre$($s$)$ assigned to each artist and the values are separated by $","($comma and a space$).$ Below, we define a "jazz artist" as an artist who has at least one value in this column where "jazz" is mentioned $($e$.$g$.,$ "jazz pop", "soul jazz", etc.$).$ Similarly, a "pop artist" would be an artist that has at least one genre value that has "pop" string. Similar definition goes for other genres.

Load the two $.$tsv files into two Pandas dataframes and use Pandas methods and functions to address the following questions:

Identify and print the name and genre of the artist with maximum number of followers.

Identify and print name of the most productive artist in terms of the number of tracks $\frac{s}{?}$ he performed.

Write a function called summarize$\_$genres $($genres$)$ that takes a list of genres and return a dataframe that has three columns: "genre" $($name of input genres$),$ "total N$"($total number of artists in each genre$),$ and $"$Av$.$ followers" $($average number of followers of artists in each genre$).$

Write a function called get$\_$genre$\_$variants $($genre$)$ that takes a genre string and returns an array that includes all variants of that genre $($i$.$e$.,$ strings in which that genre is mentioned$).$ Try it on "jazz". How many variants of jazz can you find in this data set?

Write a function called

summarize$\_$artist$\_$performance $($name$)$ that takes an artist's name and print the following values: number of tracks, number of solo tracks, number of collaborative tracks, average popularity of total$/$solo$/$collaborative tracks, number of people with whom the artists have collaborated. Try it on "Michael Jackson". Are his average total$/$solo$/$collaborative track popularities very different?

Record a three$-$minute video in which you run the code. Then, present your code. Specifically, answer the following questions:

How did you identify artists with maximum number of followers or maximum number of tracks?

How did you detect all artists in a given genre in summarize$\_$genres function? Show the output of this function for the input list $["$pop$",$ "hip hop", "rock", "metal", "jazz", "blues", "country", "folklore"$].$

Explain how you classify a track to either a solo or collaborative performance.

Explain how you identified all distinct collaborators of an artist.

Submission: Submit a single $.$py file containing all the code to the D$2$L$.$ Do not zip or archive the file. Your code must include comments at the top including your name, date, video link, and the honor statement, "I have not given or received any unauthorized assistance on this assignment." Each function must include a docstring and be commented appropriately.