Multiple plots

Multiple plots and objects can also be created using a grid layout. A grid layout arranges the plots and widget objects in a row-column matrix fashion. It takes a list of figure objects for each row. We can also use None as a placeholder:

# Import the required modules
from bokeh.plotting import figure
from bokeh.plotting import output_notebook
from bokeh.plotting import show
from bokeh.layouts import gridplot

# 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 = 300, plot_height = 300)
fig3 = figure(plot_width = 300, plot_height = 300)

# Create scatter marker plot by render the circles
fig1.circle(df['petal_length'], df['sepal_length'], size=8, color = "green", alpha = 0.5)
fig2.circle(df['petal_length'], df['sepal_width'], size=8, color = "blue&quot...