Box plot with plt.boxplot in Matplotlib - Mini Project: Build & Apply

Box plot with plt.boxplot

📖 Scenario: You are a data analyst working with a small dataset of daily temperatures recorded over a week. You want to visualize the spread and identify any outliers in the temperature data using a box plot.

🎯 Goal: Create a box plot using plt.boxplot to visualize the temperature data.

📋 What You'll Learn

Create a list variable named temperatures with the exact values: 22, 21, 23, 24, 30, 20, 19

Create a variable named fig and ax by calling plt.subplots()

Use ax.boxplot to create a box plot of the temperatures list

Set the title of the plot to exactly 'Daily Temperatures Box Plot'

Print the box plot figure object fig to confirm creation

💡 Why This Matters

🌍 Real World

Box plots are used in data science to quickly see the distribution, spread, and outliers of data like temperatures, sales, or test scores.

💼 Career

Data analysts and scientists use box plots to summarize data visually and communicate insights clearly to teams and stakeholders.

1

Create the temperature data list

Create a list called temperatures with these exact values: 22, 21, 23, 24, 30, 20, 19.

Matplotlib

# Create the list temperatures with the given values
# Your code here

Need a hint?

Use square brackets [] to create a list and separate values with commas.

2

Set up the plot figure and axes

Import matplotlib.pyplot as plt. Then create variables fig and ax by calling plt.subplots().

Matplotlib

temperatures = [22, 21, 23, 24, 30, 20, 19]
# Import matplotlib.pyplot as plt and create fig, ax using plt.subplots()
# Your code here

Need a hint?

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

Use fig, ax = plt.subplots() to create the figure and axes.

3

Create the box plot with plt.boxplot

Use ax.boxplot to create a box plot of the temperatures list. Then set the plot title to exactly 'Daily Temperatures Box Plot' using ax.set_title.

Matplotlib

import matplotlib.pyplot as plt

temperatures = [22, 21, 23, 24, 30, 20, 19]

fig, ax = plt.subplots()
# Create box plot of temperatures using ax.boxplot
# Set the title to 'Daily Temperatures Box Plot'
# Your code here

Need a hint?

Call ax.boxplot(temperatures) to draw the box plot.

Use ax.set_title('Daily Temperatures Box Plot') to add the title.

4

Display the box plot figure

Print the figure object fig to confirm the box plot was created.

Matplotlib

import matplotlib.pyplot as plt

temperatures = [22, 21, 23, 24, 30, 20, 19]

fig, ax = plt.subplots()
ax.boxplot(temperatures)
ax.set_title('Daily Temperatures Box Plot')
# Print the figure object fig
# Your code here

Need a hint?

Use print(fig) to display the figure object.