Pyplot interface overview in Matplotlib - Mini Project: Build & Apply

Pyplot Interface Overview

📖 Scenario: You are working as a data analyst and want to create a simple line chart to visualize sales data over a week. You will use the matplotlib.pyplot interface to plot the data.

🎯 Goal: Build a simple line plot using matplotlib.pyplot to show sales numbers for each day of the week.

📋 What You'll Learn

Create a list of sales numbers for 7 days

Create a list of day names for the x-axis

Use matplotlib.pyplot to plot the sales data

Add labels for x-axis and y-axis

Display the plot

💡 Why This Matters

🌍 Real World

Line charts are common in business to track sales, website visits, or any data changing over time.

💼 Career

Data analysts and scientists use matplotlib.pyplot to quickly visualize data and communicate insights.

1

Create sales data and days list

Create a list called sales with these exact values: [150, 200, 170, 220, 180, 190, 210]. Also create a list called days with these exact values: ["Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"].

Matplotlib

# Create the sales and days lists
# Your code here

Need a hint?

Use square brackets to create lists. Put the exact numbers and day names as shown.

2

Import pyplot and set up plot

Import matplotlib.pyplot as plt. This will allow you to use plotting functions easily.

Matplotlib

sales = [150, 200, 170, 220, 180, 190, 210]
days = ["Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"]
# Import matplotlib.pyplot as plt
# Your code here

Need a hint?

Use the syntax import matplotlib.pyplot as plt to import pyplot.

3

Plot sales data with labels

Use plt.plot(days, sales) to create a line plot. Then add x-axis label "Days" using plt.xlabel("Days") and y-axis label "Sales" using plt.ylabel("Sales").

Matplotlib

import matplotlib.pyplot as plt

sales = [150, 200, 170, 220, 180, 190, 210]
days = ["Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"]
# Plot the sales data and add axis labels
# Your code here

Need a hint?

Use plt.plot() to draw the line. Use plt.xlabel() and plt.ylabel() to add labels.

4

Display the plot

Use plt.show() to display the plot window with your line chart.

Matplotlib

import matplotlib.pyplot as plt

sales = [150, 200, 170, 220, 180, 190, 210]
days = ["Mon", "Tue", "Wed", "Thu", "Fri", "Sat", "Sun"]

plt.plot(days, sales)
plt.xlabel("Days")
plt.ylabel("Sales")
# Display the plot
# Your code here

Need a hint?

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