Python Line Chart

This builds on the earlier Python Bar Chart. Differences are highlighted below.

Data

• Same as Python Bar Chart.

Script

• Display a numbered list of available players in the data, with a 0 for exiting.
• Iterate through data, adding player names to a list. After that, convert the list to a dictionary, which automatically removes all duplicates, then convert back to a list, and sort.
• Request for input to select a player.
  • Utilize a Try-catch to ensure only numerical data is entered.
  • If value is numerical but out of bounds, do-over.
  • If value is 0, end program.
• Use the selected player to generate the line chart.

Chart

We use the matplotlib library to plot the line chart, and the numpy library to access aggregation functions.

• An average line can be drawn using the axhline() method from matplotlib, using as an argument a value derived from using the nanmean() method of numpy.
• Goals and appearances are represented using different colors.
• Averages are represented using dashed lines.
• The labels for goals and appearances are placed above the average lines.