How Matplotlib renders figures - Try It Yourself

How Matplotlib renders figures

📖 Scenario: You want to understand how Matplotlib creates and shows a simple plot step-by-step. This helps you learn how figures, axes, and rendering work in Matplotlib.

🎯 Goal: Build a simple line plot using Matplotlib by creating a figure, adding axes, plotting data, and finally rendering the figure.

📋 What You'll Learn

Create a Matplotlib figure object

Add axes to the figure

Plot a simple line on the axes

Render the figure using plt.show()

💡 Why This Matters

🌍 Real World

Matplotlib is widely used to create visualizations for data analysis, reports, and presentations in many fields like science, business, and engineering.

💼 Career

Understanding how Matplotlib renders figures helps you build clear and effective visualizations, a key skill for data scientists, analysts, and researchers.

1

Create a Matplotlib figure

Import Matplotlib's pyplot module as plt and create a figure object called fig using plt.figure().

Matplotlib

# Import pyplot as plt and create a figure called fig
# Your code here

Need a hint?

Use import matplotlib.pyplot as plt to import, then fig = plt.figure() to create the figure.

2

Add axes to the figure

Add axes to the figure fig by calling fig.add_subplot(1, 1, 1) and assign it to a variable called ax.

Matplotlib

import matplotlib.pyplot as plt
fig = plt.figure()
# Add axes to fig and assign to ax
# Your code here

Need a hint?

Use fig.add_subplot(1, 1, 1) to add one axes to the figure.

3

Plot a simple line on the axes

Use the axes ax to plot the points [1, 2, 3] on x-axis and [4, 5, 6] on y-axis by calling ax.plot([1, 2, 3], [4, 5, 6]).

Matplotlib

import matplotlib.pyplot as plt
fig = plt.figure()
ax = fig.add_subplot(1, 1, 1)
# Plot line on ax
# Your code here

Need a hint?

Use ax.plot(x_values, y_values) to draw the line.

4

Render the figure

Call plt.show() to display the figure with the plotted line.

Matplotlib

import matplotlib.pyplot as plt
fig = plt.figure()
ax = fig.add_subplot(1, 1, 1)
ax.plot([1, 2, 3], [4, 5, 6])
# Show the plot
# Your code here

Need a hint?

Use plt.show() to render the figure window.