Class Meeting 5A

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Class Meeting 5A#

Due to a weather disruption, today’s class was presented remotely via zoom. Link to zoom recording and you will need passcode n4vvf$WB to access it. Note: There is no Panopto recording for today’s lecture.

Below are the slides from today’s class embedded.

Download the Slides from today

During the lecture we played around with the ChartData and ChartEntry classes from the billboard module. I wrote and deleted a lot of code as we explored the VSCode environment and these classes, but here is the final version of the code. It should print one line for each entry in the Hot-100 list showing the current position and the position for the previous week.

import pandas as pd
import billboard

# We will write some code to get the billboard 100 for last week using the billboard.py package
chart = billboard.ChartData('hot-100','2025-01-04')

for i, s in enumerate(chart.entries):
    print("position " + str(i) + ", last week: "+ str(s.lastPos))

Your task to complete before Thursday’s lecture is:

  • Start with the data in chart.entries: List[ChartEntry], which has one ChartEntry object for each song in the Hot-100 list.

  • Create a variable chart_songs: List[Dict] with one dictionary for each song in the Hot-100 list.

  • Each dictionary should have one key for each attribute of the corresponding ChartEntry object: title, artist, peakPos, lastPos, weeks, rank, isNew. The value for each key should be the value for the corresponding attribute for that song.

In other words, you are coverting from ChartEntry objects to dictionary objects. On Thursday we will load those dictionaries into a Pandas dataframe and then play around with the data.

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