Python Data Visualization of Top Car Horsepower with Bokeh

Metadata

• Project Owner: @dark-teal-coder
• First Published Date: 2022-10-08

Project

• Title: Python Data Visualization of Top Car Horsepower with Bokeh
• Difficulty:
  • Beginner
  • Intermediate
  • Advanced
• Scale:
  • Small
  • Medium
  • Big

Repository Description

This repository contains the code for generating an interactive horizontal bar chart displaying the highest horsepower cars in the world as an HTML page (index.html).

Instructions

To Get All the Files in the Current Repository

• Click [Code]
• Click [Download ZIP]
• Extract the .zip file to the working directory

To Fork a Repo and Clone it Locally

To access all of the files, fork this repo and then clone it locally.

For more information, please refer to Fork a repo.

To Create and Use a Virtual Environment with Pipenv

• Install Python to get access to pip tool
• Run pip install pipenv to get access to pipenv command
• Run pipenv shell to create or activate the virtual environment (Pipfile file created)
• Run pipenv install bokeh pandas to install the packages in the virtual environment (Pipfile.lock file created)

To Run the Program

1. Click [Run] in an integrated development environment (IDE) (e.g., Visual Studio Code)
2. Run python main.py in a command-line interface (CLI)

To Remove a Virtual Environment

• Run pipenv --venv to check where the virtual environment folder is located (inside .virtualenvs)
• Remove the entire directory (pyvenv.cfg file inside) with the same name as the virtual environment
• Restart IDE

References

• bokeh.palettes documentation
• bokeh.embed documentation
• bokeh.models.tools documentation

 

1st Completion Date: Oct 16, 2022