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Using the matplotlib.pyplot interface

There are many ways to use Matplotlib. In this course, we will focus on the pyplot interface, which provides the most flexibility in creating and customizing data visualizations.

Initially, we will use the pyplot interface to create two kinds of objects: Figure objects and Axes objects.

This course introduces a lot of new concepts, so if you ever need a quick refresher, download the Matplotlib Cheat Sheet and keep it handy!

This exercise is part of the course

Introduction to Data Visualization with Matplotlib

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Exercise instructions

  • Import the matplotlib.pyplot API, using the conventional name plt.
  • Create Figure and Axes objects using the plt.subplots function.
  • Show the results, an empty set of axes, using the plt.show function.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Import the matplotlib.pyplot submodule and name it plt
import ____ as ____

# Create a Figure and an Axes with plt.subplots
fig, ax = ____

# Call the show function to show the result
____
Edit and Run Code