Python In Practice - 15 Projects to Master Python - Matplotlib Library

This video tutorial demonstrates how to visualize data using the Matplotlib library. It begins with importing necessary libraries like Matplotlib and Numpy, followed by creating data arrays for plotting. The tutorial then explains how to plot a simple chart using Matplotlib's plot function and customize it by adding titles and labels. The session concludes with a brief overview of the next steps in a data science project.

What library is used in the video to create charts?

• Seaborn

• Matplotlib

• Pandas

• Scikit-learn

Which function is used to plot the data in Matplotlib?

• plot()

• draw()

• chart()

• graph()

How can you add a title to a chart in Matplotlib?

• Using the add_title() function

• Using the title() function

• Using the set_title() function

• Using the chart_title() function

What function is used to label the X-axis in Matplotlib?

• x_label()

• xaxis()

• set_xlabel()

• xlabel()

What is the next step after the simple data visualization demonstration?

• A detailed tutorial on NumPy

• A data science project

• An introduction to Seaborn

• A lesson on data cleaning