jhaslam/visualizations

This is my personal workspace to try out data visualization libraries in Python. The libraries featured are matplotlib and pygal.

Studies in Python Graphing and Visualization

This is my personal workspace to try out data visualization libraries in Python. The libraries featured are matplotlib and pygal.

Project Configuration Instructions

• Install Python >= 3.9
• python -m venv project_env
• ./project_env/Scripts/activate
• pip install -r requirements.txt

mpl_squares.py

Demonstrates one of the most basic uses of matplotlib. This is essentially a HelloWorld of this graphing library.

To run:
python mpl_squares.py

rw_visual.py

Visualizes a random walk using the gradient feature of matplotlib.

To run:
python rw_visual.py

dice_visual.py

Use Pygal to make an interactive SGV file of a histogram of many trials of rolling dice

To run:
python dice_visual.py

highs_lows.py

Reads data in CSV format and plots it out using matplotlib pyplot

To run:
python highs_lows.py

world_polulation.py

Uses pygal to make an interactive SVG of world population by country.

To run:
python -m population

python_repos.py

Uses the GitHub public API to chart the most starred public Python repos

To run:
python -m apis/python_repos.py