The Broadway dataset contains data for Broadway shows' Capacity $($percentage of the theatre filled$)$ and Gross Potential $($maximum

amount that can be earned$)$ for multiple shows in a specific month and year.

Given a CSV file name read from user input, write a program that performs the following tasks:

Read in the CSV file as a dataframe.

Insert a new column labelled "Size" at the end of the dataframe. The "Size" column contains values in column "Gross Potential"

divided by $2.$

Output the dataframe using the print $()$ function.

Create a scatter plot of "Gross Potential" vs "Capacity" with the following marker styling parameters:

markers: $\text{'}$x$\text{'}$

color: orange

size: values in column "Size"

Add the x$-$label $("$Capacity$",$ fontsize $=10),$ y$-$label $("$Gross Potential", fontsize $=10),$ and title $("$Gross Potential vs Capacity", fontsize

$=16)$ to the figure.

Add gridlines to the figure using $\text{'}--\text{'}$ as linestyle.

Save the figure as output$\_$fig.png$.$

Click here to view Input and Output Example

E$4$

Run

main.py

$1$ import matplotlib.pyplot as plt

import pandas as pd

file $=$ input $()$

# TODO: Read in CSV file as a dataframe

# TODO: Insert a column to the dataframe as the last column

# Label the column "Size", which contains half the values in column "Gross Potential"

# TOD$0$: Output dataframe

# TOD$0$: Create scatter plot

# TODO: Add axis labels and title

# TOD$0$: Add gridlines

# TODO: Save figure as output$\_$fig.png