Deep Learning - Crash Course 2023 - Plotting with Matplotlib

This video tutorial introduces Matplotlib, a popular plotting library in Python, and demonstrates how to create and customize plots. It covers creating line plots, modifying plot appearance with colors and styles, adding labels and legends, and creating scatter plots. The tutorial also explains how to set axis limits, providing a comprehensive guide to using Matplotlib for data visualization.

What is the purpose of importing matplotlib in a Python program?

How do you create a line plot using matplotlib?

Explain how to modify the appearance of a plot in matplotlib.

What are the three arguments that the plt.plot function expects?

How can you specify colors and line styles in matplotlib plots?

What is the significance of adding labels to plots?

How can you create legends for your plots in matplotlib?

Describe the difference between plt.plot and plt.scatter functions.

What are some common markers used in scatter plots?

What is the purpose of using plt.xlim and plt.ylim?