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📊 Matplotlib Learning Repository

Welcome to my Matplotlib Learning Repository!
This repository contains everything I’ve learned while exploring Python’s powerful matplotlib library for data visualization. All the code and visualizations were created and tested in Google Colab.

📚 What I Learned

✅ Getting Started

  • How to install and import the matplotlib.pyplot module
  • Using numpy to generate numerical data for plotting

📈 Graph Plotting

  • Plotting basic line graphs
  • Visualizing sine and cosine waves using NumPy
  • Plotting a parabola to understand quadratic curves
  • Adding titles, x-axis, and y-axis labels for clarity

📊 Data Visualization Types

  • Creating bar plots to represent categorical data
  • Plotting multiple graphs together on the same axes
  • Designing pie charts with labels and percentages
  • Generating scatter plots to show relationships between two datasets

🧭 3D Plotting

  • Creating 3D scatter plots using mpl_toolkits.mplot3d for visualizing data in three dimensions

💻 Platform

All the visualizations were developed and tested using Google Colab, which provides an interactive and cloud-based Python environment with all essential libraries pre-installed.

Since these were personal learning notebooks, no direct Colab links are included in this repository.
However, if you want to try similar code yourself:

  1. Go to Google Colab
  2. Start a new notebook
  3. Paste the code snippets from this repository
  4. Run the cells and experiment freely!

🎥 Source of Learning

I learned these concepts from the YouTube channel [Siddhardhan].
His explanations and step-by-step tutorials made learning matplotlib simple and enjoyable.

🛠️ Libraries Used

  • Matplotlib
  • NumPy