Saving figures in Data Analysis Python - Mini Project: Build & Apply

Saving figures

📖 Scenario: You have created a simple line plot showing sales data over a week. Now, you want to save this plot as an image file so you can share it or use it in reports.

🎯 Goal: Create a line plot using sales data and save the figure as a PNG file named sales_plot.png.

📋 What You'll Learn

Create a list called sales with the values: 150, 200, 250, 300, 280, 320, 400

Create a list called days with the values: 'Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun'

Use matplotlib to plot sales against days

Save the figure as sales_plot.png using matplotlib's savefig method

Print the message "Figure saved as sales_plot.png" after saving

💡 Why This Matters

🌍 Real World

Saving figures is important when you want to share your data visualizations with others or include them in reports and presentations.

💼 Career

Data scientists and analysts often save plots to communicate insights clearly and professionally.

1

Create sales and days data lists

Create a list called sales with these exact values: 150, 200, 250, 300, 280, 320, 400. Also create a list called days with these exact values: 'Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun'.

Data Analysis Python

# Create the sales and days lists
# Your code here

Hint

Use square brackets to create lists. Separate values with commas.

2

Import matplotlib and set up the plot

Import matplotlib.pyplot as plt. Then use plt.plot(days, sales) to create a line plot of sales over days.

Data Analysis Python

sales = [150, 200, 250, 300, 280, 320, 400]
days = ['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun']
# Import matplotlib.pyplot as plt
# Create a line plot of sales over days
# Your code here

Hint

Use import matplotlib.pyplot as plt to import. Then call plt.plot(days, sales).

3

Save the figure as a PNG file

Use plt.savefig('sales_plot.png') to save the current figure as a PNG file named sales_plot.png.

Data Analysis Python

import matplotlib.pyplot as plt

sales = [150, 200, 250, 300, 280, 320, 400]
days = ['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun']

plt.plot(days, sales)
# Save the figure as 'sales_plot.png'
# Your code here

Hint

Use plt.savefig('sales_plot.png') to save the figure.

4

Print confirmation message

Write a print statement to display the message "Figure saved as sales_plot.png" after saving the figure.

Data Analysis Python

import matplotlib.pyplot as plt

sales = [150, 200, 250, 300, 280, 320, 400]
days = ['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun']

plt.plot(days, sales)
plt.savefig('sales_plot.png')
# Print confirmation message
# Your code here

Hint

Use print("Figure saved as sales_plot.png") to show the message.