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

The video tutorial explains the concept of subplots, which are multiple plots within a single figure, and their advantages in visualizing different types of data simultaneously. It demonstrates how to create subplots using Python, perform random plotting, and plot images. The tutorial also covers visualizing face data using subplots, showcasing how to manipulate and customize plots for better data representation.

What is the primary benefit of using subplots in data visualization?

• To enhance the color of plots

• To reduce the number of figures

• To visualize multiple plots in one figure

• To create a single large plot

How can you create a grid of subplots in Python?

• Using plt.plot()

• Using plt.figure()

• Using plt.subplots()

• Using plt.grid()

What is the advantage of sharing axes among subplots?

• It increases the number of plots

• It reduces the figure size

• It changes the plot colors

• It decreases clutter by aligning axes

Which function is used to generate random plots in subplots?

• np.random.plot()

• np.random.rand()

• plt.random()

• plt.rand()

What customization can be applied to markers in subplots?

• Change the marker shape and color

• Change the marker size only

• Change the marker position

• Change the marker to text

Which function is used to display images in subplots?

• plt.show()

• plt.image()

• plt.imshow()

• plt.display()

What is the purpose of using plt.cm.bone in image subplots?

• To convert images to grayscale

• To increase image size

• To rotate images

• To add color to images

How can you adjust the layout of subplots to display more images?

• By changing the figure size

• By using a larger grid layout

• By increasing the image resolution

• By reducing the number of images

What is the role of the 'fetch_lfw_people' function in the context of subplots?

• To fetch random numbers

• To fetch face images for plotting

• To fetch plot titles

• To fetch color maps

What is a potential use case for subplots in data visualization?

• To visualize a dataset with multiple variables

• To reduce the number of data points

• To display a single data point

• To create a single large image