Basic plt.plot usage in Matplotlib - Mini Project: Build & Apply

Basic plt.plot usage

📖 Scenario: You are a data analyst who wants to visualize the sales trend of a small shop over a week. You have the sales numbers for each day and want to create a simple line chart to see how sales changed.

🎯 Goal: Build a simple line plot using matplotlib.pyplot.plot to show sales over days.

📋 What You'll Learn

Create a list called days with values: [1, 2, 3, 4, 5, 6, 7]

Create a list called sales with values: [150, 200, 170, 220, 180, 210, 230]

Use plt.plot(days, sales) to create the line plot

Use plt.show() to display the plot

💡 Why This Matters

🌍 Real World

Line plots are used to visualize trends over time, like sales, temperature, or stock prices.

💼 Career

Data analysts and scientists use matplotlib to create charts that help explain data insights clearly.

1

Create the sales data lists

Create a list called days with values [1, 2, 3, 4, 5, 6, 7] and a list called sales with values [150, 200, 170, 220, 180, 210, 230].

Matplotlib

# Create the days and sales lists
# Your code here

Need a hint?

Use square brackets to create lists with the exact numbers given.

2

Import matplotlib and prepare to plot

Import matplotlib.pyplot as plt to prepare for plotting.

Matplotlib

days = [1, 2, 3, 4, 5, 6, 7]
sales = [150, 200, 170, 220, 180, 210, 230]

# Import matplotlib.pyplot as plt
# Your code here

Need a hint?

Use import matplotlib.pyplot as plt to import the plotting library.

3

Create the line plot

Use plt.plot(days, sales) to create a line plot showing sales over days.

Matplotlib

import matplotlib.pyplot as plt
days = [1, 2, 3, 4, 5, 6, 7]
sales = [150, 200, 170, 220, 180, 210, 230]

# Use plt.plot(days, sales) to create the line plot
# Your code here

Need a hint?

Call plt.plot with days as x-values and sales as y-values.

4

Display the plot

Use plt.show() to display the line plot.

Matplotlib

import matplotlib.pyplot as plt
days = [1, 2, 3, 4, 5, 6, 7]
sales = [150, 200, 170, 220, 180, 210, 230]
plt.plot(days, sales)

# Use plt.show() to display the plot
# Your code here

Need a hint?

Call plt.show() to open the plot window.