Conference travel emissions

This archive contains the finalized individual project completed during the 2022-2023 session of the "Research Software Engineering with Python" module.

This individual project asks you to create some classes and functions to load and process a CSV dataset. You will also need to create some tests and commit your work as you progress in a git repository

---

Usage

1. Install Dependencies:

   • Make sure you have Python installed on your system.
   • Install required dependencies by running:

     pip install cities matplotlib

2. Prepare Data:

   • Ensure your attendee data is stored in a CSV file with the following columns:
     • Number of attendees
     • Country
     • City
     • Latitude
     • Longitude
     • Distance

3. Run the Script:

   • Run the script main.py with Python:

     python main.py

4. Output:

   • The script will read the attendee data, perform analysis, and display summaries and visualizations, including top emitters from a specified city.

Example

from cities import City
from utils import read_attendees_file

if __name__ == "__main__":
    # File path
    filepath = 'attendee_locations.csv'

    # Read city collection
    col = read_attendees_file(filepath)

    # Example usage (choose Zurich as a travel destination)
    zurich = City('Zurich', 'Switzerland', 52, 47.22, 8.33)
    col.summary(zurich)
    col.plot_top_emitters(city=zurich, n=8, save=True)

Output

1. Summary

Host city: Zurich (Switzerland)
Total CO2: 48488190 tonnes
Total attendees travelling to Zurich from 1766 different cities: 24008

2. Top emitters from Zurich