This project provides a visual representation of the class schedules. It uses Python and Matplotlib to create a graphical week-by-week view that helps visualize when and where classes take place.
- Visual Schedule: Easily see your entire class schedule in a weekly layout.
- Course Details: Hover over any course block to see details such as course name and location.
- Color-Coded: Each course has a unique color for quick identification.
Before you run this project, you'll need to have Python installed along with the following Python libraries:
- matplotlib
- numpy
You can install these packages using pip:
pip install matplotlib numpyTo run the script, simply execute the Python file from your terminal or command prompt:
python schedule_visualizer.pyschedule_data: A dictionary containing the course schedule, including the course name, days of the week, start and end times, locations, and colors.day_to_pos: A dictionary mapping weekdays to their respective positions on the x-axis of the plot.matplotlib: Used to create the visual representation of the schedule.
Here is what the schedule visualization looks like:
You can customize the schedule by modifying the schedule_data dictionary in the script. This allows you to add or change courses, times, and locations as needed.
example
{
"title": "2025 Spring Schedule",
"courses": [
{
"name": "Statistics for Data Analysis II: Regressions",
"days": ["Tuesday", "Thursday"],
"start": 14.0,
"end": 15.33,
"location": "The Keller Center 1022",
"color": "#FF9999"
},
{
"name": "TA Session: Statistics for Data Analysis II: Regressions",
"days": ["Friday"],
"start": 15.0,
"end": 16.83,
"location": "Remote",
"color": "#99CCFF"
},
{
"name": "Analytical Politics II: Political Institutions",
"days": ["Tuesday", "Thursday"],
"start": 15.5,
"end": 16.83,
"location": "The Keller Center 0001",
"color": "#99FF99"
},
{
"name": "TA Session: Analytical Politics II: Political Institutions",
"days": ["Friday"],
"start": 13.5,
"end": 14.83,
"location": "Remote",
"color": "#FFCC99"
},
{
"name": "Principles of Microeconomics for Public Policy II",
"days": ["Monday", "Wednesday"],
"start": 15.0,
"end": 16.33,
"location": "The Keller Center 0001",
"color": "#CCCCFF"
},
{
"name": "TA Session: Principles of Microeconomics for Public Policy II",
"days": ["Friday"],
"start": 10.5,
"end": 11.83,
"location": "Remote",
"color": "#FFCCFF"
}
]
}
Contributions are welcome! If you have a feature request or bug report, please open an issue or submit a pull request.
This project is licensed under the MIT License