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Intro to Data Science · Visualization · Lesson 5 of 12

Plotting with matplotlib

Concept

Plotting with matplotlib

matplotlib is the foundational Python plotting library. A few lines create a chart from your data.

By the end of this lesson
  • Explain the core idea behind Plotting with matplotlib.
  • Predict output before running a change.
  • Test one realistic and one unusual input.
  • Use the result to make the next decision.
How to study this page
  1. 1. Read one concept.
  2. 2. Change the example.
  3. 3. Run, compare, and explain.
  4. 4. Complete the challenge below.
ExampleRunnable
import matplotlib.pyplot as plt

plt.plot([1, 2, 3], [10, 20, 15])
plt.show()
Try it Yourself »
Self-check before continuing

Without looking at the example, describe what changes when you modify one input in Plotting with matplotlib. Then reopen the editor and prove your explanation with a small test.

You are ready to continue when you can predict, test, and explain the result.

Your turn

Describe what changing the second list of numbers would do to the plot.

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Console

Output will appear here...