Matplotlib: 2‑Day Beginner → Master Roadmap Beginner‑friendly
From Beginner to Pro – Practical Visualization Challenges
| S.No | Category | Challenge |
|---|---|---|
| 1 | Basic & Essential | Dynamic Scaling: Plot y = sin(x) from 0–2π, auto-rescale with new data. |
| 2 | Basic & Essential | Custom Style Sheet: Create .mplstyle file to set global defaults. |
| 3 | Basic & Essential | Data Transformation: Plot log(y) vs x but ticks in original
values. |
| 4 | Customization & Polish | Annotated Events: Plot stock prices, annotate highest/lowest points. |
| 5 | Customization & Polish | Dual Axes: Temperature (°C) + Humidity (%) with shared time axis. |
| 6 | Customization & Polish | Custom Ticks: Show only quarterly months (Jan, Apr, Jul, Oct). |
| 7 | Customization & Polish | Gradient Color Line: Sine wave with color changing from blue → red. |
| 8 | Customization & Polish | Custom Legends: Legend with unique marker size, color, and style. |
| 9 | Subplots & Layouts | Complex Layout: 5 plots (2 top row, 3 bottom row) with unique titles. |
| 10 | Subplots & Layouts | Shared Axes Zoom: Zooming in one subplot updates another subplot. |
| 11 | Real-Time & Animation | Live Data Simulation: Random walk updating every 200ms. |
| 12 | Real-Time & Animation | Animated Transition: Animate smoothly from sin(x) → cos(x). |
| 13 | Real-Time & Animation | Performance Challenge: Plot 1M points efficiently with zooming. |
| 14 | Advanced Visualization | Heatmap: 10×10 matrix with annotated cell values. |
| 15 | Advanced Visualization | 3D Plot: Parametric spiral (cos(t), sin(t), t) with gradient colors. |
| 16 | Advanced Visualization | Custom Colormap: Red → Yellow → Green for a contour plot. |
| 17 | Interactivity & Widgets | Interactive Slider: Control sine wave frequency in real-time. |
| 18 | Interactivity & Widgets | Clickable Points: Scatter plot shows coordinates when clicked. |
| 19 | Integration & Export | High-Quality Export: Multi-plot figure → 300 DPI PDF with metadata. |
| 20 | Integration & Export | Embedding in GUI: Matplotlib plot inside Tkinter with refresh button. |