Python Debug Visualizer
Visualize Python data structures during debugging - trees, graphs, linked lists, arrays, and more.
Features
- Data Structure Visualization: Lists, dicts, sets, trees, graphs, linked lists
- Scientific Computing: NumPy arrays, Pandas DataFrames, Matplotlib plots
- Pointer Tracking: Highlight nodes/indices as you step through algorithms
- Watch Variables: Display variable values below the visualization
- Side-by-Side: Visualize multiple expressions simultaneously (e.g.,
tree1, tree2)
- Auto-Refresh: Automatically update visualization on each debug step
Usage
- Start debugging your Python code
- Press
Shift+F1 or run command "Python Debug Visualizer: New View"
- Enter a variable name to visualize (e.g.,
root, my_list, df)
Multiple Expressions
Enter comma-separated expressions to view side-by-side:
tree1, tree2
Pointer Tracking
Track algorithm pointers like slow and fast in linked list problems:
- Expand "Pointer Tracking" section
- Add pointer variable names
- Select type: "Object" for trees/linked lists, "Index" for arrays
Requirements
- Python extension for VS Code
- For full visualization features:
pip install pydebugvisualizer
Supported Data Types
| Type |
Visualization |
| list, tuple, set |
Array view with indices |
| dict |
Table view |
| Binary trees |
Tree graph |
| Linked lists |
Node chain |
| NumPy arrays |
Grid/heatmap |
| Pandas DataFrame |
Table |
| Matplotlib figures |
Embedded plot |
| NetworkX graphs |
Interactive graph |
Keyboard Shortcuts
Shift+F1: Visualize selected expression
Extension Settings
pythonDebugVisualizer.maxItems: Maximum items to display (default: 1000)pythonDebugVisualizer.maxDepth: Maximum nesting depth (default: 10)pythonDebugVisualizer.autoRefresh: Auto-refresh on debug step (default: true)
License
MIT
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