https://github.com/tuni56/matplotlib_introduction
Want to bring trigonometry to life? With Matplotlib, you can easily plot the sine and cosine functions on the same graph, creating an intuitive visualization of their periodic nature.
https://github.com/tuni56/matplotlib_introduction
data-science data-visualization matplotlib python trigonometry-visualisation
Last synced: 4 months ago
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Want to bring trigonometry to life? With Matplotlib, you can easily plot the sine and cosine functions on the same graph, creating an intuitive visualization of their periodic nature.
- Host: GitHub
- URL: https://github.com/tuni56/matplotlib_introduction
- Owner: tuni56
- Created: 2025-02-04T14:58:39.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-02-04T19:43:23.000Z (about 1 year ago)
- Last Synced: 2025-06-16T12:52:49.272Z (8 months ago)
- Topics: data-science, data-visualization, matplotlib, python, trigonometry-visualisation
- Language: Python
- Homepage:
- Size: 153 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 📊 Visualizing Sine and Cosine with Matplotlib
Want to bring trigonometry to life? With Matplotlib, you can easily plot the sine and cosine functions on the same graph, creating an intuitive visualization of their periodic nature.
# 📖 Table of Contents
- 🚀 About This Project
- 📜 Code Preview
- 📸 Output Preview
- 🎯 How to Run
- 🚀 Future Improvements
- 🤝 Contributing
- 📜 License
- 📩 Contact
- 🚀 About This Project
This repository contains a simple yet powerful Python script that:
✅ Plots the sine and cosine functions over a defined range
✅ Uses Matplotlib for high-quality graph rendering
✅ Highlights key aspects of wave behavior, such as phase shifts and symmetry
📜 Code Preview
import numpy as np
import matplotlib.pyplot as plt
# Define the range of values
x = np.linspace(0, 2 * np.pi, 100)
# Compute sine and cosine values
y_sin = np.sin(x)
y_cos = np.cos(x)
# Create the plot
plt.figure(figsize=(8, 5))
plt.plot(x, y_sin, label="Sine", color="b")
plt.plot(x, y_cos, label="Cosine", color="r")
# Add labels, title, and legend
plt.xlabel("Angle (radians)")
plt.ylabel("Function value")
plt.title("Sine and Cosine Functions")
plt.legend()
# Show the plot
plt.grid()
plt.show()
📸 Output Preview
🎯 How to Run
Install dependencies:
pip install numpy matplotlib
Run the script:
python plot_sine_cosine.py
📌 Enhance the visualization! Try modifying colors, line styles, or adding annotations to make your plots even more insightful.
🚀 Future Improvements
🔹 Add interactive features using plotly
🔹 Include additional trigonometric functions (e.g., tangent, cotangent)
🔹 Save the plot as an image automatically
🔹 Create an animated visualization of sine and cosine
🤝 Contributing
Want to improve this project? Feel free to fork the repository and submit a pull request!
Steps to Contribute:
Fork this repository 🍴
Clone your forked repo
git clone https://github.com/your-username/matplotlib_introduction.git
cd sine-cosine-plot
Create a new branch
git checkout -b feature-new-enhancement
Make changes and commit
git add .
git commit -m "Added a new feature"
Push your branch and submit a pull request
git push origin feature-new-enhancement
We appreciate every contribution! 🚀
📜 License
This project is open-source and available under the MIT License.
📩 Contact
💬 Got questions or suggestions? Feel free to reach out:
- 📧 Email: tunidev56@gmail.com
- 🔗 GitHub Profile: https://github.com/tuni56