Visualizing musician chart performance and ranking using pandas and matplotlib

[Drone4four]

I am enrolled in a not for school credit Udemy course by Colt Steele on data anlaysis in Python using common data visulization modules like pandas, matplotlib, plotly, and seaborn.

The task I am working on calls students to:

Create a line plot seen in the image attached. It shows the chart performance (rank) of the following songs:

• All I Want For Christmas Is You by Mariah Carey
  
• Rockin' Around The Christmas Tree by Brenda Lee
  
• Jingle Bell Rock by Bobby Helms
  

The date range spans from 2016-12-25 to 2021-01-01
Notice the customized x-axis tick marks, the legend, the title, and the axis labels! Also the figure is 10x7
To invert the y-axis, use plt.gca().invert_yaxis()

This screenshot shows the expected data visualization and end product. See here:
   

This screenshot shows my valiant but evidentlyvery broken feeble attempt:
   

Here is my code snippet:

import pandas as pd
# import plotly.express as px
import matplotlib.pyplot as plt

hot_billboard = pd.read_csv('data/billboard_charts.csv')
# hot_billboard.info()

fig, ax = plt.subplots()
hot_billboard_dates_parsed = hot_billboard.loc[(hot_billboard['date'] >= '2016-12-25') & (hot_billboard['date'] <= '2020-01-01')]

rockin = hot_billboard_dates_parsed[hot_billboard_dates_parsed['song'] == "Rockin' Around The Christmas Tree"]
alliwant = hot_billboard_dates_parsed[hot_billboard_dates_parsed['song'] == "All I Want For Christmas Is You"]
jingle = hot_billboard_dates_parsed[hot_billboard_dates_parsed['song'] == "Jingle Bell Rock"]

jingle.plot.line(x='date',y='rank',ax=ax, color='green', legend=False)
alliwant.plot.line(x='date',y='rank',ax=ax, color='red', legend=False)
rockin.plot.line(x='date',y='rank',ax=ax, color='blue', legend=False)

plt.gca().invert_yaxis()

Take note: The instructor asks students to decorate the plot with custom x/y ticks, a legend, and use certain colors. I am not concerned with these cosmetic configurations at this point. One step at a time. For now I am focused on resolving the overlapping x-axis increments and the red (alliwant) data points from extending beyond the paramaters of the x-axis. Can anyone on these forums identify what variable or method I may be (mis)using which is causing to skew the red line? What do I need to modify in my code to tell Python, pandas, matplotlib to keep all three musical artists' #1 rank Series data within the bounds of the datetime x-axis (Christmas 2016-2021)?

Thanks.