Layouts

Bokeh offers layouts for organizing plots and widgets. Layouts organize more than one plot in a single panel for interactive visualizations. They also allow setting the sizing modes for resizing the plots and widgets based on panel size. The layout can be of the following types:

• Row layout: This organizes all the plots in a row or in a horizontal fashion.
• Column layout: This organizes all the plots in a column or in a vertical fashion.
• Nested layout: This is a combination of row and column layouts. 
• Grid layout: This offers you a grid of matrices for arranging the plots in.

Let's see a row layout example:

# Import the required modules
from bokeh.plotting import figure
from bokeh.plotting import output_notebook, show
from bokeh.layouts import row, column

# Import iris flower dataset as pandas DataFrame
from bokeh.sampledata.iris import flowers as df

# Output to notebook
output_notebook()

# Instantiate a figure
fig1 = figure(plot_width = 300, plot_height = 300)
fig2 = figure(plot_width...