Data Science and Machine Learning (Theory and Projects) A to Z - Matplotlib for Data Visualization: Matplotlib Set Funct

The video tutorial explains the difference between using PLT and AX for graph annotations in Matplotlib. It covers how to set properties like X and Y labels, limits, and titles using both PLT and AX. The tutorial highlights the convenience of using the set function to adjust multiple properties at once. A practical example demonstrates setting properties using AX. The video concludes with a preview of the next topic on different types of markers.

What is the primary difference between using PLT and AX for setting graph annotations?

• PLT is a standalone library, while AX is a part of NumPy.

• PLT is used for setting individual properties, while AX allows setting multiple properties at once.

• PLT is used for 3D plots, while AX is for 2D plots.

• PLT is for interactive plots, while AX is for static plots.

Which function allows setting multiple properties of a plot at once using the AX object?

• set_properties

• configure_plot

• set

• apply_settings

In the practical example, what is the range set for the X limit?

• -1 to 11

• 0 to 10

• -10 to 10

• -5 to 5

What is the title set for the plot in the example?

• Sine, Cos, curves

• Graph of Functions

• Matplotlib Plot

• Sine and Cosine Waves

What is one advantage of using the set function with AX?

• It allows for interactive plotting.

• It simplifies setting multiple properties in one call.

• It provides better performance for large datasets.

• It automatically generates legends.

What flexibility does Matplotlib offer according to the video?

• It integrates with machine learning libraries.

• It allows for 3D plotting.

• It provides built-in data analysis tools.

• It supports multiple ways to achieve the same result.

What topic is introduced for the next video?

• Interactive plotting techniques

• Data visualization best practices

• Different kinds of markers

• Advanced graph annotations