Bokeh - grid layout of plots

Bokeh - grid layout of plots

In Bokeh, creating a grid layout of plots is straightforward using the gridplot function from the bokeh.layouts module. This function allows you to arrange multiple plots (figures) in a grid of rows and columns. Each plot can be created separately and then combined into a grid layout.

Here's a step-by-step guide to creating a grid layout of plots with Bokeh:

Step 1: Install Bokeh

First, make sure you have Bokeh installed. You can install it via pip if you haven't already:

pip install bokeh

Step 2: Import Bokeh Modules

Import the necessary modules from Bokeh:

from bokeh.plotting import figure, show from bokeh.layouts import gridplot from bokeh.io import output_notebook output_notebook() # Output to Jupyter Notebook; replace with output_file("output.html") for HTML output

Step 3: Create Multiple Plots

Create multiple figures (plots). For example, let's create three plots:

# Create the first plot plot1 = figure(width=250, height=250) plot1.circle([1, 2, 3], [4, 5, 6], size=20, color="navy", alpha=0.5) # Create the second plot plot2 = figure(width=250, height=250) plot2.triangle([1, 2, 3], [4, 5, 6], size=20, color="firebrick", alpha=0.5) # Create the third plot plot3 = figure(width=250, height=250) plot3.square([1, 2, 3], [4, 5, 6], size=20, color="olive", alpha=0.5)

Step 4: Arrange Plots in a Grid Layout

Use gridplot to arrange these figures in a grid layout:

# Arrange plots in a grid grid = gridplot([[plot1, plot2], [None, plot3]], toolbar_location=None)

In this example, plot1 and plot2 are placed in the first row, and plot3 is placed in the second row, aligned to the right.

Step 5: Show or Save the Grid Layout

Finally, display the grid layout:

show(grid)

Complete Example

Here's the complete code for the grid layout of plots:

from bokeh.plotting import figure, show from bokeh.layouts import gridplot from bokeh.io import output_notebook output_notebook() # Create plots plot1 = figure(width=250, height=250) plot1.circle([1, 2, 3], [4, 5, 6], size=20, color="navy", alpha=0.5) plot2 = figure(width=250, height=250) plot2.triangle([1, 2, 3], [4, 5, 6], size=20, color="firebrick", alpha=0.5) plot3 = figure(width=250, height=250) plot3.square([1, 2, 3], [4, 5, 6], size=20, color="olive", alpha=0.5) # Arrange plots in a grid grid = gridplot([[plot1, plot2], [None, plot3]], toolbar_location=None) # Show the grid layout show(grid)

This script creates a grid of three plots and displays them in a Jupyter Notebook. You can modify the arrangement, size, and types of plots according to your needs. Bokeh's flexibility makes it easy to create complex grid layouts for visual data analysis and presentation.

More Tags

ivr author html-table strftime http-status-code-405 fuzzywuzzy iokit implements simple-oauth2 internet-explorer

More Programming Guides

Other Guides

More Programming Examples