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

The video tutorial covers various properties of axes in plotting, focusing on setting limits for the X and Y axes, and the differences between axis functions in PLT and AXES. It explains how to generate and customize figures, including setting DPI and figure size. The tutorial also demonstrates how to set axis limits and the effects of these settings on plots, such as cropping and adjusting. Additionally, it discusses reversing axes and adjusting aspect ratios to achieve desired plot appearances. The tutorial concludes with practical examples in a Jupyter notebook.

What are the properties that can be set for the X and Y axes in Matplotlib?

Explain the difference between the 'ax' and 'plt' functions in Matplotlib.

How can you reverse the axes in a Matplotlib plot?

What are some cool features of axis manipulation in Matplotlib that you learned?

What is the significance of setting the DPI (dots per inch) in a Matplotlib figure?

Describe how to set the limits for the X and Y axes in a plot.

Explain how to create multiple plots in a single figure using Matplotlib.

What is the effect of changing the limits of the axes on the appearance of the plot?

What happens to the plot when you set the axes to be 'tight'?

How can you achieve a plot that maintains the aspect ratio?