Create scatter plot with pandas columns

Let's visualize some data from the companies dataset. Compare the companies' expenses and revenue using a scatter plot. Create a plot that matches the one in the image.
Hint: First, extract the correct columns from the DataFrame. Use the DataFrame.columns attribute to find the correct column names. You need to divide the column values by 1000 for the plot.

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Expected:

Output:

import pandas as pd
import matplotlib.pyplot as plt
 
df = pd.read_csv('/data/companies.csv')
 
# add your code here

 
plt.xlabel('Expenses (in 1000s)')
plt.ylabel('Revenue (in 1000s)')
plt.show()

Python

Setting up Python environment...

Output