Data Science and Machine Learning (Theory and Projects) A to Z - Bokeh for Interactive Plotting: Bokeh Multiplots Grid P

This video tutorial explores the use of grid plots in Bokeh, demonstrating how to create and interact with multiple plots arranged in a grid. It covers importing necessary modules, setting up data, and creating individual plots with different markers. The tutorial also discusses combining these plots into a grid layout and highlights the limitations of Bokeh in handling 3D plots, suggesting Plotly as an alternative for interactive 3D plotting.

What is the main purpose of using grid plots in Bokeh?

• To import necessary modules for plotting

• To generate random data for plotting

• To arrange multiple plots in a grid for interactive use

• To create a single large plot

Which module is imported to create grid plots in Bokeh?

• bokeh.charts

• bokeh.layouts

• bokeh.models

• bokeh.plotting

What marker is used for the first plot (S1) in the tutorial?

• Circle

• Triangle

• Square

• Diamond

What color is assigned to the second plot (S2) in the tutorial?

• Firebrick

• Navy

• Olive

• Teal

Which shape is used for the third plot (S3) in the tutorial?

• Circle

• Hexagon

• Triangle

• Square

What is a limitation of Bokeh mentioned in the tutorial?

• Complexity in creating interactive 3D plots

• Lack of support for 2D plots

• Inability to import data

• Limited color options

Which library is recommended for interactive 3D plotting?

• Plotly

• Pandas

• Seaborn

• Matplotlib