Python based Interactive Scientific Visualization

Python Based Interactive Scientific Visualization:

We describe various science and engineering problems via interactive web based visualizations. An interactive web based approach will increase understanding of science and engineering problems as users can interact with parameters in a live setting.

Bokeh is used as the base package for visualizations.

Prerequisites

Need to install python 3.8 and add it to path on your system before exiting the installation process. You can check it by opening cmd.exe or a terminal and typing:

$python --version

numpy, scipy and bokeh are required libraries. To install these use the command:

$pip install numpy
$pip install scipy
$pip install bokeh

Running interactive HTML

You can create an interactive webpage from any example using:

$bokeh serve --show <filename.py>

If already running an interactive visualization default port will be unavailable. You can specify port using --port

$bokeh serve --show <filename.py> --port 5010

The interactive webpage can be found here:

• Sequential_Reactions - Sequential reactions example

Built With

• Bokeh - The visualization library used

Authors

• Raghuram Thiagarajan - Initial work - swamilikes2code

See also the list of contributors who participated in this project.

License

This project is licensed under the GNU General Public License

Acknowledgments

• Python Community
• PyData Ann Arbor Meetup
• Bokeh Visualization Library