A collection of small scripts I wrote while learning Matplotlib, CSV data handling, and different types of plots.
Each script focuses on one concept and can be run individually.
Requires Python 3.10+.
Run the project
# 1. (Optional) Create a virtual environment if it doesn’t exist python3 -m venv venv # 2. Activate virtual environment source venv/bin/activate # 3. Install dependencies (only once) pip install -r requirements.txt # 4. Run the project python main.py # 5. Deactivate virtual environment deactivate #6. When new dependency is added, run pip freeze > requirements.txt
Project Structure
images/ # Images of plots
lib/
├── data/ # CSV files used in some plots
├── bar_plot.py
├── box_plot.py
├── dynamic_data_plot.py
├── histogram_plot.py
├── income_line.py
├── line_area_plot.py
├── pie_plot.py
├── scatter_plot.py
├── stack_plot.py
├── sub_plot.py
├── style_demo.py
├── time_series_plot.py
└── 3d_plot.py
README.md
requirement.txt
Running the Scripts
From project root:
python lib/<script_name>.py
Example:
For Live Data Plot
# Terminal 1 – generate data continuously python lib/data/dynamic_data_gen.py # Terminal 2 – show the live plot python lib/live_data_plot.py
Plots Overview
Below are all plot types included in this project, with script links and image placeholders.
1. Line + Area Plot — Developer Salaries
2. Subplots — Multiple Salary Graphs
3. Scatter Plot — YouTube View to Like Ratio
4. Time Series Plot — Bitcoin Price
5. Live Dynamic Plot — Streaming Data
6. Bar Plot — Most Popular Languages
7. 3D Surface Plot
8. Pie Chart — Language Popularity
9. Box Plot
10. Stack Plot
11. Histogram — Ages of Responders
